- given a classification variable and several quantitative variables, the procedure performs
a stepwise discriminant analysis to select a subset of the quantitative variables for use in discriminating among the classes
- selection methods include forward selection, backward elimination, and stepwise selection
- variables are chosen to enter or leave the model according to one of two criteria:
- the significance level of an F test from an analysis of covariance, where the variables already
chosen act as covariates and the variable under consideration is the dependent variable
- the squared partial correlation for predicting the variable under consideration from the
CLASS variable, controlling for the effects of the variables already selected for the model
- obtain separate analyses on observations in groups
- perform weighted analysis
- uses ODS to create a SAS data set corresponding to any table
For further details see the SAS/STAT User's Guide:
The STEPDISC Procedure
( PDF | HTML )
Examples
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