MODEL
dependentvariables = independenteffects </ options> ;
The MODEL statement names the dependent variables and independent effects. The syntax of effects is described in the section Specification of Effects. For any model effect involving classification variables (interactions as well as main effects), the number of levels cannot exceed 32,767. If no independent effects are specified, only an intercept term is fit. You can specify only one MODEL statement (in contrast to the REG procedure, for example, which allows several MODEL statements in the same PROC REG run).
Table 42.9 summarizes the options available in the MODEL statement.
Table 42.9: MODEL Statement Options
Option 
Description 

Produce effect size information 

Adds measures of effect size to each analysis of variance table 

Produce tests for the intercept 

Produces the hypothesis tests associated with the intercept 

Omit the intercept parameter from model 

Omits the intercept parameter from the model 

Produce parameter estimates 

Produces parameter estimates 

Produce tolerance analysis 

Displays the tolerances used in the SWEEP routine 

Suppress univariate tests and output 

Suppresses the display of univariate statistics 

Display estimable functions 

Displays the general form of all estimable functions 

Displays the Type I estimable functions and computes sums of squares 

Displays the Type II estimable functions and computes sums of squares 

Displays the Type III estimable functions and computes sums of squares 

Displays the Type IV estimable functions computes sums of squares 

Specifies that the estimable functions should be displayed as an aliasing structure 

Control hypothesis tests performed 

Displays Type I sum of squares 

Displays Type II sum of squares 

Displays Type III sum of squares 

Displays Type IV sum of squares 

Produce confidence intervals 

Specifies the level of significance 

Produces confidence limits for individual predicted values 

Produces confidence limits for a mean predicted value 

Produces confidence limits for the parameter estimates 

Display predicted and residual values 

Displays observed, predicted, and residual values 

Display intermediate calculations 

Displays the augmented inverse (or generalized inverse) matrix 

Displays the augmented crossproducts matrix 

Tune sensitivity 

Tunes the sensitivity of the regression routine to linear dependencies 

Tunes the sensitivity of the check for estimability for Type III and Type IV functions 
The options available in the MODEL statement are described in the following list.