One set of methods, and a quite important one for many practicing statisticians, is aimed at data reduction. Often the sample data are very rich, e.g., consisting of a set of points in a space of very many dimensions. The first step in a statistical analysis may then be to pick out the salient variability in the data, in order to scale down the computational burden of the analysis itself.