10105 IUPAC Gold Book - principal component-discriminant analysis 10.1351/goldbook.10105 10105 current initialism: PC-DA 1 Discriminant analysis on a multivariate data set that has been subject to principal-component analysis. This procedure removes collinearity from the multivariate data and ensures that the new predictor variables, which are PCA scores, are distributed normally. multivariate data https://goldbook.iupac.org//terms/view/10055 principal-component analysis https://goldbook.iupac.org//terms/view/10106 PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 423 (https://doi.org/10.1515/pac-2015-0605) https://goldbook.iupac.org/terms/view/10105/html https://goldbook.iupac.org/terms/view/10105/json https://goldbook.iupac.org/terms/view/10105/plain Citation: 'principal component-discriminant analysis' in IUPAC Compendium of Chemical Terminology, 5th ed. International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10105 The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International (https://creativecommons.org/licenses/by-sa/4.0/) for individual terms. If you are interested in licensing the Gold Book for commercial use, please contact the IUPAC Executive Director at executivedirector@iupac.org . The International Union of Pure and Applied Chemistry (IUPAC) is continuously reviewing and, where needed, updating terms in the Compendium of Chemical Terminology (the IUPAC Gold Book). Users of these terms are encouraged to include the version of a term with its use and to check regularly for updates to term definitions that you are using. 2026-04-27T16:39:52+00:00