Multivariate Analysis using SAS

As a first method, it gives you a good idea about the level of multicollinearity involved and how much the two specified sets relate to themselves and each other. Do not forget -- CCA is mainly used for prediction, not interpretation. And the last of the trio is the Discriminant Function Analysis (DFA) which is used to answer the question: Can a combination of variables be used to predict group membership? Because, if a set of variables predicts group membership, it is also connected to that group. DFA is a dimension-reduction technique related to Principal Component Analysis (PCA) and Canonical Correlation Analysis (CCA).