The assumptions for discriminant analysis are basically the same as those for MANOVA, and there is no need for adjustments when classification is the goal of analysis.

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Discriminant analysis and MANOVA share similar assumptions, such as multivariate normality and homogeneity of variance-covariance matrices. However, when classification is the goal, adjustments may be needed to address issues like unequal group sizes or non-normality to improve classification accuracy.

The Assumptions for Discriminant Analysis Are Basically the Same as Those