Variable influence on projection (VIP) for orthogonal projections to latent structures (OPLS)
2014 (English)In: Journal of Chemometrics, ISSN 0886-9383, E-ISSN 1099-128X, Vol. 28, no 8, 623-632 p.Article in journal (Refereed) Published
A new approach for variable influence on projection (VIP) is described, which takes full advantage of the orthogonal projections to latent structures (OPLS) model formalism for enhanced model interpretability. This means that it will include not only the predictive components in OPLS but also the orthogonal components. Four variants of variable influence on projection (VIP) adapted to OPLS have been developed, tested and compared using three different data sets, one synthetic with known properties and two real-world cases.
Place, publisher, year, edition, pages
2014. Vol. 28, no 8, 623-632 p.
chemometrics, variable influence on projection, VIP, OPLS, variable selection, PLS
Research subject Computer Science; Analytical Chemistry; Statistics
IdentifiersURN: urn:nbn:se:umu:diva-90733DOI: 10.1002/cem.2627ISI: 000340504100007OAI: oai:DiVA.org:umu-90733DiVA: diva2:730854
ProjectsInnovative Multivariate Model Based Approaches For Industry.
FunderSwedish Research Council, 2011-604
Additional supporting information may be found in the online version of this article at the publisher’s web site.2014-06-302014-06-302014-12-22Bibliographically approved