| pls_apply
 PLS_APPLY 
  Partial Least Squares (applying)
 
    Y = pls_apply(X,B)
     Y = pls_apply(X,B,Options)
  
  INPUT 
   X       [N -by- d_X]    the input  data matrix, N samples, d_X variables 
   B       [d_X -by- d_Y]  regression matrix: Y_new = X_new*B 
                          (X_new here after preprocessing, Y_new before 
                          un-preprocessing; preprocessing and 
                          un-preprocessing could be done automatically 
                          (than Options contains info about 
                          preprocessing) or manually) 
   Options  structure returned by pls_train (if not supplied then will 
   be no preprocessing performed) 
 
 | Output |  |  Y |   [N -by- d_Y]    the output data matrix, N samples, d_Y variables |   
 Description Applys PLS (Partial Least Squares) regression model  See also
pls_train,  | This file has been automatically generated. If badly readable, use the help-command in Matlab. |  
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