nag_blgm_lm_submodel (g22ydc) Example Program Results
Model: 1+FACT2+CON+FACT1+FACT2.CON+FACT2.FACT1+CON.FACT1
Parameter Standard
Coefficients Estimate Error
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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
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Residual sum of squares = 3.4371
Degrees of freedom = 8
Model: 1+FACT1+FACT2+CON
Parameter Standard
Coefficients Estimate Error
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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
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Residual sum of squares = 105.6953
Degrees of freedom = 18