Orthogonalized Alternating Least Squares (OALS) is a decomposition method that iteratively calculates scores and loadings from data, even in the presence of missing values. By alternately optimizing scores and loadings while ensuring orthogonality, OALS provides robust, interpretable solutions for incomplete datasets.
Adrián Gómez-Sánchez [1,2]Raffaele Vitale[2]Cyril Ruckebusch [2]Anna de Juan [1]
[1]Chemometrics Group, Universitat de Barcelona, Barcelona, Spain[2]Université Lille, CNRS, UMR 8516, Laboratoire Avancé de Spectroscopie pourles Intéractions la Réactivité et l’Environnement (LASIRE), Lille, France
