Hi,
 I have two high dimensional matrix data representing two classes. Each matrix have approximatly 1000 columns, each columns represent one feature.
 
 Is it possible to use pca and lda from MASS library or any other library to find out which columns are responsible for discriminating two classes. If it is possible can anybody suggest me the steps or literature that would help me in doing so.
 
 Regards,
 Ecell
 				
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