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Hi! I've performed discriminant analysis with 30 observations (5 groups) and 38 variables (analogous to the flower characteristics used in the tutorial example). Is there a way of extracting the subset of most informative variablesfrom the data generated? If not, what would be the best statistical method to extract this information?Theoretically what I would like to do is perform a test which highlights the most informative variables for separating the groups.Thank you!
I propose two alternative methods to answer your specific question:
- Run a PLS-Discriminant Analysis and make sure you activate the VIPs in the outputs tab. VIPs reflect the discriminating power of your variables: https://help.xlstat.com/customer/en/portal/articles/2062368-partial-least-squares-discriminant-analysis-plsda-tutorial?b_id=9283
- Run a CHAID classification tree. Variables at the top of the tree are the best discriminators: https://help.xlstat.com/customer/en/portal/articles/2062258-classification-tree-in-excel-tutorial?b_id=9283
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