Cross-validation calculates the predictive ability of potential models to help you determine the appropriate number of components to retain in your model. Use cross-validation to determine the optimal number of components for your data. If the data contain multiple response variables, Minitab validates the components for all responses simultaneously. For more information, go to Cross-validation in PLS regression.