nag_correg_linregm_fit (g02dac) Example Program Results Example 1 Model not of full rank, rank = 4 Residual sum of squares = 2.2227e+01 Degrees of freedom = 8.0 Variable Parameter estimate Standard error 1 3.0557e+01 3.8494e-01 2 5.4467e+00 8.3896e-01 3 6.7433e+00 8.3896e-01 4 1.1047e+01 8.3896e-01 5 7.3200e+00 8.3896e-01 Obs Residuals h 1 -2.3733e+00 3.3333e-01 2 1.7433e+00 3.3333e-01 3 8.8000e-01 3.3333e-01 4 -1.4333e-01 3.3333e-01 5 1.4333e-01 3.3333e-01 6 -1.4700e+00 3.3333e-01 7 -1.8867e+00 3.3333e-01 8 5.7667e-01 3.3333e-01 9 1.3167e+00 3.3333e-01 10 1.7967e+00 3.3333e-01 11 -1.1733e+00 3.3333e-01 12 5.9000e-01 3.3333e-01 Example 2 Regression estimates (mean = Nag_MeanInclude) Coefficient Estimate Standard error a(3) -8.8628e-09 7.9470e-09 a(2) 9.0059e-06 7.0244e-06 a(1) 2.3641e-03 1.7199e-03 a(0) -1.2614e+00 1.0568e-01 Regression estimates (mean = Nag_MeanZero) Coefficient Estimate Standard error a(3) -8.8628e-09 7.9470e-09 a(2) 9.0059e-06 7.0244e-06 a(1) 2.3641e-03 1.7199e-03 a(0) -1.2614e+00 1.0568e-01