Characterizing and displaying multivariate data,
multivariate distributions, tests of mean vectors and covariate matrices, discriminant
analysis, classification and pattern recognition, canonical correlation,
principle component analysis, factor and cluster analysis, multivariate linear,
random and mixed models, multidimensional scaling.