Before revision: In this paper, we demonstrate the interpretative power of partial least square models and how robust interpretability can lead to new quantitative insights.
After revision: In this paper, we ask if it is possible to increase the interpretability in multivariate analysis by aligning and projecting covariates onto comparative subspaces. We demonstrate our method as well as the interpretative power of partial least square models and how robust interpretability can lead to new quantitative insights.