Regularized regression in ultra-small chemometric datasets: A methodological case study using FTIR spectra of Schiff bases.

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Title: Regularized regression in ultra-small chemometric datasets: A methodological case study using FTIR spectra of Schiff bases.
Authors: Rashedi KA; Department of Mathematics, College of Science, University of Ha'il, Hail, Saudi Arabia., Alshammari TS; Department of Mathematics, College of Science, University of Ha'il, Hail, Saudi Arabia., Alshammari KM; Department of Mathematics, College of Science, University of Ha'il, Hail, Saudi Arabia., Alanazi TA; Department of Mathematics, College of Science, University of Ha'il, Hail, Saudi Arabia., Shabbir J; Department of Statistics, University of Wah, Wah Cantt, Pakistan., Mehmood T; School of Natural Sciences, National University of Sciences and Technology, Islamabad, Pakistan.
Source: PloS one [PLoS One] 2026 Jun 01; Vol. 21 (6), pp. e0341850. Date of Electronic Publication: 2026 Jun 01 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0341850