Chemometric techniques involve multivariate statistical approaches to process and interpret complex datasets. These techniques include principal component analysis (PCA), partial least squares regression (PLS), cluster analysis, and artificial neural networks, among others. These tools are essential in handling large datasets typical in modern toxicology, such as those generated from omics technologies (genomics, proteomics, metabolomics).
