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The canonical partial least squares approach to analysing multiway datasets—N-CPLS

dc.contributor.authorLiland, Kristian Hovde
dc.contributor.authorIndahl, Ulf Geir
dc.contributor.authorSkogholt, Joakim
dc.contributor.authorMishra, Puneet
dc.date.accessioned2023-03-22T13:34:15Z
dc.date.available2023-03-22T13:34:15Z
dc.date.created2022-09-27T09:35:18Z
dc.date.issued2022
dc.identifier.citationJournal of Chemometrics. 2022, 36 (7), .
dc.identifier.issn0886-9383
dc.identifier.urihttps://hdl.handle.net/11250/3059896
dc.language.isoeng
dc.titleThe canonical partial least squares approach to analysing multiway datasets—N-CPLS
dc.title.alternativeThe canonical partial least squares approach to analysing multiway datasets—N-CPLS
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber14
dc.source.volume36
dc.source.journalJournal of Chemometrics
dc.source.issue7
dc.identifier.doi10.1002/cem.3432
dc.identifier.cristin2055738
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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