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Dear Allstatters,

 

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

Chartered Statistician

 <http://www.marriott-stats.com/> www.marriott-stats.com

 

Ground Floor, 21 Marlborough Buildings, Bath BA1 2LY, United Kingdom

Tel (mobile)  +44 (0)773 4069997

Tel (office)    +44 (0)1225 489033

Fax                  +44 (0)870 6221969

 

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Tilehurst, Reading, RG31 5AL

 


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