Chapter 18. Multidimensional analysis of register variation
In this chapter you will learn about Principal Components Analysis and Factor Analysis. The aim of these methods is to reduce a large number of correlated quantitative variables to a small set of underlying dimensions. You will learn how to use these methods to perform corpus-based multidimensional analysis of register variation.