1 Residual norms for sys1_sys2_regressor_linear_ solve. 2 0 KSP Residual norm 9.082951062292e+00 3 1 KSP Residual norm 0.000000000000e+00 4PetscRegressor Object: (sys1_sys2_) 1 MPI process 5 type: linear 6 PetscRegressor Linear Type: ols 7 KSP Object: (sys1_sys2_regressor_linear_) 1 MPI process 8 type: lsqr 9 standard error not computed 10 using inexact matrix norm 11 maximum iterations=10000, initial guess is zero 12 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 13 left preconditioning 14 using UNPRECONDITIONED norm type for convergence test 15 PC Object: (sys1_sys2_regressor_linear_) 1 MPI process 16 type: qr 17 out-of-place factorization 18 tolerance for zero pivot 2.22045e-14 19 matrix ordering: external 20 factor fill ratio given 0., needed 0. 21 Factored matrix: 22 Mat Object: (sys1_sys2_regressor_linear_) 1 MPI process 23 type: spqr 24 rows=10, cols=10 25 package used to perform factorization: spqr 26 total: nonzeros=10, allocated nonzeros=10 27 linear system matrix, followed by the matrix used to construct the preconditioner: 28 Mat Object: 1 MPI process 29 type: seqaij 30 rows=10, cols=10 31 total: nonzeros=10, allocated nonzeros=10 32 total number of mallocs used during MatSetValues calls=0 33 not using I-node routines 34 Mat Object: (sys1_sys2_regressor_linear_) 1 MPI process 35 type: normal 36 rows=10, cols=10 37 total KSP iterations: 1 38