New insights into evaluation of regression models through a decomposition of the prediction errors: Application to near-infrared spectral data

FRANCISCO JOSE URBANO NAVARROALBERTO MARINAS ARAMENDÍAELENA SÁNCHEZ LÓPEZMARÍA ISABEL SÁNCHEZ RODRÍGUEZ2026-01-292026-01-2920132-s2.0-84879317541https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/24603Management Science and Operations ResearchStatistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations ResearchStatistics and ProbabilityStatistics, Probability and UncertaintyNew insights into evaluation of regression models through a decomposition of the prediction errors: Application to near-infrared spectral dataresearch article