Stat > Regression > Partial Least Squares > Results

Method

Display the method table, which includes information about cross-validation and the number of components in the analysis.

Analysis of variance

Display the ANOVA table, one for each response in the model.

Model selection

Display the fitted and the cross-validated sums of squares, the x-variance value, the R^{2} value, and the predicted R^{2 } value for each model calculated. If you do not choose to cross-validate the model, the cross-validated sums of squares and the predicted R^{2 } do not appear in the output.

Coefficients

Display the standardized and the unstandardized regression coefficients for the predictors.

Fits and residuals

Display the calculated fitted values, the residuals, the standardized residuals, the cross-validated fitted values, and the cross-validated residuals. If you do not choose to cross-validate the model, the cross-validated fitted values and the cross-validated residuals do not appear on the output.

Leverages and distances

Display the leverage values, the distances from the x-model, and the distances from the y-model.

Prediction

Display the predicted values for the new observations table.

X scores

Display the x-scores for each observation.

X loadings

Display the loadings for each predictor.

X residuals

Display the residuals for the x-matrix.

X calculated

Display the calculated values for the x-matrix.

Y scores

Display the y-scores for each observation.

Y loadings

Display the loadings for each response.

Y residuals

Display the residuals for the y-matrix. The y-residuals are the same as the residuals for the model.

Y calculated

Display the calculated values for the y-matrix. The y-calculated values are the same as the fitted values for the model.