PROC DISCRIM <options>;
The PROC DISCRIM statement invokes the DISCRIM procedure. Table 35.1 summarizes the options available in the PROC DISCRIM statement.
Table 35.1: Options Available in the PROC DISCRIM Statement
Option 
Description 

Input Data Sets 

Specifies input SAS data set 

Specifies input SAS data set to classify 

Output Data Sets 

Specifies output statistics data set 

Specifies output data set with classification results 

Specifies output data set with cross validation results 

Specifies output data set with densities 

Outputs discriminant scores to the OUT= data set 

Specifies output data set with TEST= results 

Specifies output data set with TEST= densities 

Method Details 

Specifies parametric or nonparametric method 

Specifies whether to pool the covariance matrices 

Specifies the singularity criterion 

Specifies significance level homogeneity test 

Specifies the minimum threshold for classification 

Nonparametric Methods 

Specifies k value for k nearest neighbors 

Specifies proportion, p, for computing k 

Specifies radius for kernel density estimation 

Specifies a kernel density to estimate 

Specifies metric in for squared distances 

Canonical Discriminant Analysis 

Performs canonical discriminant analysis 

Specifies a prefix for naming the canonical variables 

Specifies the number of canonical variables 

Resubstitution Classification 

Displays the classification results 

Displays the misclassified observations 

Suppresses the classification 

Displays the classification results of TEST= 

Displays the misclassified observations of TEST= 

Cross Validation Classification 

Displays the cross validation results 

Displays the misclassified cross validation results 

Specifies cross validation 

Control Displayed Output 

Displays all output 

Displays univariate statistics 

Displays between correlations 

Displays between covariances 

Displays between SSCPs 

Displays squared Mahalanobis distances 

Displays formulas in destinations other than LISTING 

Displays multivariate ANOVA results 

Suppresses all displayed output 

Displays pooled correlations 

Displays pooled covariances 

Displays posterior probability errorrate estimates 

Displays pooled SSCPs 

Suppresses some displayed output 

Displays simple descriptive statistics 

Displays standardized class means 

Displays total correlations 

Displays total covariances 

Displays total SSCPs 

Displays within correlations 

Displays within covariances 

Displays within SSCPs 