While multicollinearity is generally seen as a problem, it can also offer insights in toxicology. The presence of multicollinearity might indicate that certain variables share a common underlying process, which could be biologically relevant. For instance, high correlation between exposure levels of two chemicals may suggest a common source of exposure or similar metabolic pathways. Understanding these relationships can enhance mechanistic insights and guide further experimental research.
