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 lack-of-fit 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.