Discriminant Function Analysis

Discriminant Function Analysis is used to determine the difference among naturally occurring groups in regard to a variable, and then to use that variable to predict group classification of new cases.

If a variable is distinctly different for various groups, the variable discriminates between the groups.

Note: Learn more about the object model by reading Statistica user documentation. The Statistica application's user interface and object model have similar options. The documentation contains overviews of the analytics, descriptions of the input and outputs for the analyses, and step-by-step examples.