Residual norms for sys1_sys2_regressor_linear_ solve.
    0 KSP Residual norm 9.082951062292e+00
    1 KSP Residual norm 0.000000000000e+00
PetscRegressor Object: (sys1_sys2_) 1 MPI process
  type: linear
    PetscRegressor Linear Type: ols
    KSP Object: (sys1_sys2_regressor_linear_) 1 MPI process
      type: lsqr
        standard error not computed
        using inexact matrix norm
      maximum iterations=10000, initial guess is zero
      tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using UNPRECONDITIONED norm type for convergence test
    PC Object: (sys1_sys2_regressor_linear_) 1 MPI process
      type: qr
        out-of-place factorization
        tolerance for zero pivot 2.22045e-14
        matrix ordering: external
        factor fill ratio given 0., needed 0.
          Factored matrix:
            Mat Object: (sys1_sys2_regressor_linear_) 1 MPI process
              type: spqr
              rows=10, cols=10
              package used to perform factorization: spqr
              total: nonzeros=10, allocated nonzeros=10
      linear system matrix, followed by the matrix used to construct the preconditioner:
      Mat Object: 1 MPI process
        type: seqaij
        rows=10, cols=10
        total: nonzeros=10, allocated nonzeros=10
        total number of mallocs used during MatSetValues calls=0
          not using I-node routines
      Mat Object: (sys1_sys2_regressor_linear_) 1 MPI process
        type: normal
        rows=10, cols=10
    total KSP iterations: 1