Use this to save results from a partial least squares regression in Genstat data structures.

- After selecting the appropriate boxes, you need to type the names for the identifiers of the data structures into the corresponding
**In**: fields.

## Save

Y component loadings |
Pointer | To variates used to store the Y component loadings for each dimension extracted |

X component loadings |
Pointer | To variates used to store the X component loadings for each dimension extracted |

Loadings for bilinear model for X block |
Pointer | To variates used to store the loadings for the bilinear model for X block |

Y component scores |
Pointer | To variates used to store the Y component scores for each dimension extracted |

X component scores |
Pointer | To variates used to store the X component scores for each dimension extracted |

Regression coefficients of Y & X scores |
Diagonal matrix | Containing the regression coefficients of YSCORES on XSCORES for each dimension |

Y predictions |
Pointer | To variates used to store predicted Y values for samples in the prediction set |

Estimates |
Matrix | (nX+1 by nY, where nX and nY are the numbers of variates contained in X and Y respectively) used to store the PLS regression coefficients for a PLS model |

Fitted values |
Pointer | To variates used to store the fitted values for each Y variate. |

PRESS |
Variate | Used to contain the Predictive Residual Error Sum of Squares for each dimension in the PLS model, available only if cross-validation has been selected |

X predictions residuals |
Pointer | To variates used to store the residuals from the X block, uncorrected for any scaling that may have been applied using scaling options. This option is only available if X predictions have been supplied |

## Display in spreadsheet

Select this to display the results in a new spreadsheet window.