Essentials of linear algebra; Fundamental concepts of multivariate analysis; Regression analysis; Analyses of variance and covariance; Principal component analysis; Canonical correlation analysis and discriminant analysis; Factor analysis; Analysis of categorical data; Theory of distance and its application to classification problems; Analysis of covariance structures.