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.