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Can anyone clarify for me what is the fundamental difference between Discriminant Analysis & Multinomial Logistic Regression? When I look these up on Wikipedia, neither article makes any reference to each other yet to my mind both have the same goal in mind i.e. to classify objects into one of multiple categories using a number of predictor/explanatory variables. I ask because my version of R doesn’t have Discriminant Analysis installed but it does have Multinomial Logistic Regression and I wondering if there is a need to install an R package to do so.
Regards
Nigel Marriott
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Basilio de Bragança Pereira ,DIC and PhD(Imperial College), DL(COPPE)
*UFRJ-Federal University of Rio de Janeiro
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