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Since Box's M is significant, it's worth running a
second analysis to see whether using a separate-groups
covariance matrix changes the classification.
Note that with separate groups, leave-one-out classification is not available.
The classification results have not changed much, so it's probably not worth using separate covariance matrices. Box's M can be overly sensitive to large data files, which is likely what happened here. |
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Specifying Separate-Groups Covariance Matrices |