You can specify main effects and interaction terms in the MODEL statement, as you can in the GLM procedure (Chapter 45: The GLM Procedure.) Classification variables in the MODEL statement must also be specified in the CLASS statement.
The optional label, which must be a valid SAS name, is used to label output from the matching MODEL statement.
Table 83.8 summarizes the options available in the MODEL statement.
Table 83.8: MODEL Statement Options
Option 
Description 

Produces the estimated correlation matrix 

Produces the estimated covariance matrix 

Specifies the multiplier of the cutoff value for outlier detection 

Requests the outlier diagnostics 

Displays the iteration history 

Requests an analysis of leverage points 

Suppresses the computation for outlier diagnostics 

Specifies nointercept regression 

Suppresses the computation for summary statistics 

Requests plots 

Specifies the quantile levels 

Specifies the scale value used to compute the standardized residuals 

Specifies the seed for the random number generator 

Specifies the tolerance for testing singularity 
You can specify the following options for the model fit.