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The DISCRIM Procedure
Overview
Getting Started
Syntax
PROC DISCRIM Statement
BY Statement
CLASS Statement
FREQ Statement
ID Statement
PRIORS Statement
TESTCLASS Statement
TESTFREQ Statement
TESTID Statement
VAR Statement
WEIGHT Statement
Details
Missing Values
Background
Posterior Probability Error-Rate Estimates
Saving and Using Calibration Information
Input Data Sets
Output Data Sets
Computational Resources
Displayed Output
ODS Table Names
Examples
Univariate Density Estimates and Posterior Probabilities
Bivariate Density Estimates and Posterior Probabilities
Normal-Theory Discriminant Analysis of Iris Data
Linear Discriminant Analysis of Remote-Sensing Data on Crops
References
Details: DISCRIM Procedure
Subsections:
Missing Values
Background
Posterior Probability Error-Rate Estimates
Saving and Using Calibration Information
Input Data Sets
Output Data Sets
Computational Resources
Displayed Output
ODS Table Names
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