an introduction to Principal Component Analysis (PCA)

usage of PCA: Practical computation of PCs
Given a sample of n observations on a vector
(each measured about its sample mean)
of p variables
compute the covariance matrix
where
is the n x p matrix
whose i th row is the i th obsv.
Then compute the n x p matrix
whose i th row is the PC score
for the i th observation.