Definitions for "Principal component analysis"
(PCA) A procedure that attempts to identify patterns in a large dataset of variable character states.
Visual and numerical analysis of collinearity among variables. Allows for the mapping of high-dimensional data to a lower dimension for visualisation, analysis and modelling.
A method of analyzing multivariate data in order to express their variation in a minimum number of principal components or linear combinations of the original, partially correlated variables.
Keywords:  eof, cca, see
(see EOF, CCA) [3, pg 373
A technique for orthogonalizing a random vector.