The main example is the case that the real vector space " V " is a complex structure " J " that is an orthogonal transformation with respect to the inner product " g " on " V ".
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"' Principal component analysis "'( "'PCA "') is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called "'principal components " '.
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