PCA works by transforming the original variables into a new set of uncorrelated variables known as principal components. These components are ordered so that the first few retain most of the variation present in the original dataset. In toxicology, this means that PCA can help identify key chemical exposures or biological responses that are most relevant to a particular toxicological outcome.
