Digital design of new products: accounting for output correlation via a novel algebraic formulation of the latent-variable model inversion problem

Autor:	Elia Arnese-Feffin, Pierantonio Facco, Fabrizio Bezzo, Massimiliano Barolo
Rok vydání:	2022
Předmět:	Latent-variable model inversion Process Chemistry and Technology Digital design PLS Partial least-squares regression Product design Spectroscopy Software Computer Science Applications Analytical Chemistry
Zdroj:	Chemometrics and Intelligent Laboratory Systems. 227:104610
ISSN:	0169-7439
DOI:	10.1016/j.chemolab.2022.104610
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f93c54e6e8b5dfc4415d0c033b2a3b55 https://doi.org/10.1016/j.chemolab.2022.104610 Zobrazit plný text záznamu Full Text from ScienceDirect