A note on between-group PCA

In the context of binary classification with continuous predictors,
we proove two properties concerning the connections between Partial
Least Squares (PLS) dimension reduction and between-group PCA, and
between linear discriminant analysis and between-group PCA. Such
methods are of great interest for the analysis of high-dimensional
data with continuous predictors, such as microarray gene expression
data.