Aspects of multivariate analysis -- Matrix algebra and random vectors -- Sample geometry and random sampling -- The multivariate normal distribution -- Inferences about a mean vector -- Comparisons of several multivariate means -- Multivariate linear regression models -- Principal components -- Factor analysis and inference for structured covariance matrices -- Canonical correlation analysis -- Discrimination and classification -- Clustering, distance methods, and ordination