Introduction.- Matrix analysis and differentiation.- Matrix manifolds in
MDA.- Principal component analysis (PCA).- Factor analysis (FA).-
Procrustes analysis (PA).- Linear discriminant analysis (LDA).-
Canonical correlation analysis (CCA).- Common principal components
(CPC).- Metric multidimensional scaling (MDS) and related methods.- Data
analysis on simplexes.