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 45.9 summarizes the options available in the MODEL statement.
Table 45.9: 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.