A family of regression methods derived from standard PLSR

► PLSR consists of projections into the variables then the observations spaces. ► A metric (X'X)+ is used for oblique projections. ► X is deflated into the variables space. ► The loadings are obtained directly from X'X and X'y after deflation. ► The VODKA method can introduce external information within the regressions.