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Summary MANY multivariate statistical methods may be regarded as techniques for investigating a sample space in which each sample member is represented by a point. Some aspects of the geometrical interpretation of Principal Components, Principal Coordinates, Canonical Variate and Factor Analysis are discussed, with stress given to implicit assumptions not always realized; some special cases of principal components analysis are included. The angular representation of samples is discussed and the inter-relationship between the hierarchical representation of a sample and its spatial representation briefly described.
J. C. Gower (Sun,) studied this question.