Hello,
  
  can someone give me an example of how to fit a linear model where the
  response is a matrix, please? (other than a loop over lm calls)
  The ?lm points me to model.matrix but it is not clear to me how to use a
  model matrix in an lm call.
 
  fit<-lm(headmatrix ~ tailmatrix) causes problems as soon as I
 use predict(fit,newframe). The variables in tailmatrix are not found in
 newframe.
 
  Thanks,
  
  Claus



		
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