10143 IUPAC Gold Book - soft independent modelling of class analogy 10.1351/goldbook.10143 10143 current initialism: SIMCA 1 Supervised classification that performs a principal-component analysis on each class, and then an unknown is assigned to the class with which it has the lowest residual variance. The number of principal-component factors chosen for each class is determined by cross validation. SIMCA is an example of the use of disjoint principal component analysis. Supervised classification https://goldbook.iupac.org//terms/view/10144 disjoint principal component analysis https://goldbook.iupac.org//terms/view/10123 principal-component analysis https://goldbook.iupac.org//terms/view/10106 principal-component factors https://goldbook.iupac.org//terms/view/10107 PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 432 (https://doi.org/10.1515/pac-2015-0605) https://goldbook.iupac.org/terms/view/10143/html https://goldbook.iupac.org/terms/view/10143/json https://goldbook.iupac.org/terms/view/10143/plain Citation: 'soft independent modelling of class analogy' 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.10143 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. 2026-07-26T03:06:29+00:00