Use this to select options and output to be used by partial least squares regression.

## Display

Specifies which items of output are to be displayed in the Output window.

Data |
The unscaled data values (with labels) |

X loadings |
X-component loadings |

Y loadings |
Variable loadings for the bilinear model of the matrix of dependent variables |

Loadings for matrix P |
Variable loadings for the bilinear model of the matrix of independent variables |

Scores |
X and Y component scores |

Leverages |
Measure of leverage |

X errors |
Residual sum of squares and residual standard deviations for all the independent variables. When NGROUPS>1 additional statistics are calculated from the cross-validated residuals, derived when each object is left out |

Y errors |
Residual sum of squares and residual standard deviations for all the dependent variables |

Scree diagram |
Scree diagram of PRESS |

Fitted values |
Fitted values from the PLS regression |

%Variance explained for X |
Percentage variance explained for the X variables |

%Variance explained for Y |
Percentage variance explained for the Y variables |

Predictions |
Predicted values for any observations that were not included in the PLS model but were supplied using the X Predictions |

Cross-validation groups |
Details of groupings used for cross-validation |

Estimated coefficients |
Estimated PLS regression coefficients |

## Scale Y variables to unit variance

Controls whether to scale the Y variates to unit variance

## Scale X variables to unit variance

Controls whether to scale the X variates to unit variance

## Number of dimensions to be extracted

Specified the number of dimensions to be extracted

## Number of cross-validation groups

Specifies the number of cross-validation groups into which to divide the data. If you do not want cross-validation then leave this blank or enter 1.

## Random seed for cross-validation

Specifies a random seed value to use when dividing the data randomly into the cross-validation groups.