Redundancy Analysis (RDA) has been developed by Van den Wollenberg (1977) as an alternative to Canonical Correlation Analysis (CCorA). RDA allows studying the relationship between two tables of variables Y and X. While the CCorA is a symmetric method, RDA is non-symmetric. In CCorA, the components extracted from both tables are such that their correlation is maximized. In RDA, the components extracted from X are such that they are as much as possible correlated with the variables of Y. Then, the components of Y are extracted so that they are as much as possible correlated with the components extracted from X.