"discriminant analyses" for binary predictors?

[Karl "Hülber" <huelber@yahoo.com>]

Is it possible to fit something like a discriminant
function to a dataset consisting of several binary
predictors (and a binary response) with the goal to
make predictions for another dataset based on these
predictors?

Just like
   fit<-discrim(Response ~ A1 + A2 + A3 + A4 +?+ Ai)
   predict(fit,newdata)
for A1 ? Ai being presence/absence data

Thanks for your help
Karl


 
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