Principal component analysis is widely used in the analysis of multivariate data in the agricultural, biological, and environmental sciences. The first few principal components (PCs) of a set of ...

Randomization models, often termed "null" models, have been widely used since the 1970s in studies of species community and biogeographic patterns. More recently they have been used to test for nested ...