| PRTools contents |
PLS_APPLY
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 |
Applys PLS (Partial Least Squares) regression model
| PRTools contents |