Applied Multivariate Statistical Analysis (6th edition, Pearson, 2007) by Johnson and Wichern — the classic applied treatment of multivariate methods: the multivariate normal, inference about mean vectors, MANOVA, covariance structure, principal components, factor analysis, canonical correlation, discrimination and classification, and clustering, grounded throughout in worked data examples.