Using SVD to Get EOF&PC
	q We can use Singular Value Decomposition (SVD) to get EOFs, eigenvalues, and PC’s directly from the data matrix, without the need to calculate the covariance matrix from the data first. q If the data set is relatively small, this may be easier than computing the covariance matrices and doing the eigenanalysis of them. q If the sample size is large, it may be computationally more efficient to use the eigenvalue method.