Multivariate analysis is used to understand and describe the relationships between an arbitrary number of variables. Earth scientists often deal with multivariate data sets, such as microfossil assemblages, geochemical fingerprints of volcanic ash layers, or the clay mineral content of sedimentary sequences. Such multivariate data sets consist of measurements of p variables on n objects, which are usually stored in n-by-p arrays.