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Discriminant Function Analysis - USDA

Discriminant Function Analysis Discriminant Function Analysis General Purpose Computational Approach Stepwise Discriminant Analysis Interpreting a Two-Group Discriminant Function Discriminant Functions for Multiple Groups Assumptions Classification General Purpose Discriminant Function Analysis is used to determine which variables discriminate between two or more naturally occurring groups. For example, an educational researcher may want to investigate which variables discriminate between high school graduates who decide (1) to go to college, (2) to attend a trade or professional school, or (3) to seek no further training or education.

canonical correlation analysis (see also Canonical Correlation ) that will determine the successive functions and canonical roots (the term root refers to the eigenvalues that are associated with the respective canonical function). The maximum number of functions will be equal to the number of groups minus one, or the number of

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  Correlations, Usda, Canonical, Canonical correlation

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