Empirical Orthogonal Function Analysis
		q Empirical Orthogonal Function (EOF) analysis attempts to find a relatively small number of independent variables (predictors; factors) which convey as much of the original information as possible without redundancy. q EOF analysis can be used to explore the structure of the variability within a data set in a objective way, and to analyze relationships within a set of variables. q EOF analysis is also called principal component analysis or factor analysis.