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Principal components and canonical correlations are discussed briefly, illustrating the fact that these are important applications of eigenvalues and singular values. Reduced normal equations are described and applied to the case of design of experiments model. Properties of the C-matrix are discussed. The E-, A- and D-optimality are defined and the balanced incomplete block design (BIBD) is shown to be optimal according to these criteria.