Principal-component analysis that incorporates information about measurement uncertainty to develop models that are optimal in a maximum likelihood sense.
Source:
PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 421 (https://doi.org/10.1515/pac-2015-0605)