In the MODEL statement, you specify the response (dependent) variables followed by an equal sign and then the independent variables, some of which can be covariates.
Table 87.3 summarizes the options available in the MODEL statement. The output statistics
specify which statistics are output to the OUT=
data set. If none of the output statistics are specified, the data set is created but contains no observations. The keywords
for the output statistics become values of the special variable _TYPE_
in the output data set.
Table 87.3: MODEL Statement Options
Option 
Description 

Uses only the first BY group to estimate the model 

Declares variables to be simple linear regressors 

Performs a lackoffit test 

Performs the canonical and ridge analyses using original values 

Displays the predicted residual sum of squares (PRESS) statistic 

Suppress Displayed Output 

Suppresses the analysis of variance and parameter estimates 

Suppresses the canonical analysis 

Suppresses both the analysis of variance and the canonical analysis 

Includes observed response values 

Includes values predicted by the model 

Includes the residuals 

Includes the lower bound of a 95% confidence interval for an individual predicted value 

Includes the upper bound of a 95% confidence interval for an individual predicted value 

Includes the lower bound of a 95% confidence interval for the expected value of the dependent variable 

Includes the upper bound of a 95% confidence interval for the expected value of the dependent variable 

Includes Cook’s D influence statistic 
The following list describes these options in alphabetical order.