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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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