nag_blgm_lm_submodel (g22ydc) Example Program Results

 Model: FACT2+CON+FACT1+FACT2.CON+FACT2.FACT1+CON.FACT1
                                Parameter   Standard
 Coefficients                   Estimate      Error
 ---------------------------------------------------
 Intercept                        3.709       0.490
 FACT2_2                          4.200       0.801
 FACT2_3                          2.302       0.913
 FACT2_4                          0.174       0.727
 CON                              3.815       0.117
 FACT1_2                         -0.321       1.828
 FACT1_3                          2.377       1.041
 FACT2_2.CON                      0.013       0.184
 FACT2_3.CON                      0.153       0.253
 FACT2_4.CON                      0.257       0.157
 FACT2_2.FACT1_2                  0.029       2.442
 FACT2_2.FACT1_3                 -1.160       1.372
 FACT2_3.FACT1_2                  1.372       2.407
 FACT2_3.FACT1_3                 -2.611       1.435
 FACT2_4.FACT1_2                 -0.000       0.000
 FACT2_4.FACT1_3                 -1.946       1.247
 CON.FACT1_2                     -1.003       0.266
 CON.FACT1_3                     -1.763       0.206
 ---------------------------------------------------
 Residual sum of squares =    3.4371
 Degrees of freedom      =         8


 Model: FACT1+FACT2+CON
                                Parameter   Standard
 Coefficients                   Estimate      Error
 ---------------------------------------------------
 Intercept                        6.222       1.322
 FACT2_2                          3.225       1.599
 FACT2_3                          0.074       1.694
 FACT2_4                         -0.601       1.762
 CON                              3.442       0.196
 FACT1_2                         -0.319       1.561
 FACT1_3                          0.064       1.346
 ---------------------------------------------------
 Residual sum of squares =  105.6953
 Degrees of freedom      =        18