Also, I am unable to envision a predicament exactly where one particular strategy could well be Erroneous and another not. Althought process a person would seem much more intuitive in some situations.
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The greater exciting graphic may be the geometry of your Cholesky transformation, which standardizes and "uncorrelates" the variables.
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Lots of discriminant algorithms utilize the Mahalanobis length, or You need to use logistic regression, which might be my alternative. While you could possibly get it done "by hand," you'll be superior off working with a traditional algorithm. If you linked here want help, imp source put up your issue and sample facts to your SAS Assist Communities.
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