Stat > Regression > Partial Least Squares > Results
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.
Display the fitted and the cross-validated sums of squares, the x-variance value, the R2 value, and the predicted R2 value for each model calculated. If you do not choose to cross-validate the model, the cross-validated sums of squares and the predicted R2 do not appear in the output.
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.
Display the predicted values for the new observations table.
Display the x-scores for each observation.
Display the loadings for each predictor.
Display the residuals for the x-matrix.
Display the calculated values for the x-matrix.
Display the y-scores for each observation.
Display the loadings for each response.
Display the residuals for the y-matrix. The y-residuals are the same as the residuals for the model.
Display the calculated values for the y-matrix. The y-calculated values are the same as the fitted values for the model.