R help - Sep 2009 - Getting best three dimentions of data after dimentionality reduction (using kpca)

Hi
 
I am using kernlab package and kpca function for dimensionality reduction of my
data. Can any body tell me that how can I get best three dimensions from output
of kpca function, which are principal component vector, eignvalues, rotated
vector, and original matrix. I want to get back my original matrix with reduced
dimensions (best three dimensions).
 
Thanks
Abbas
 
 


      
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