I saw in many papers that Q square is also reported for indicating the predictive relevance of the model. I would like to know if it is really necessary to report along with R square or its just an add-on.
Why we need to use PLS is often for its predictive capabilities ( esp. out-of-sample prediction) so we need to report predictive validity in addition to the explanatory power represented by the r square.