HomeResultsPublicationsAnalysing multivariate storage data of seafood spreads. A case study based on combining split-plot design, principal component analysis and partial least squares predictions

Analysing multivariate storage data of seafood spreads. A case study based on combining split-plot design, principal component analysis and partial least squares predictions

Published 2021

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Publication details

Journal : Food Control , vol. 131 , p. 12 , 2021

Publisher : Elsevier

International Standard Numbers :
Printed : 0956-7135
Electronic : 1873-7129

Publication type : Academic article

Contributors : Sivertsen, Edvard; Thyholt, Kari; Rustad, Turid; Slizyte, Rasa; Josefsen, Kjell Domaas; Haugen, Eva Johanne; Johansen, Aina Therese; Schei, Marte; Næs, Tormod

Links :
DOI : doi.org/10.1016/j.foodcont.202...

Research areas

Quality and measurement methods

If you have questions about the publication, you may contact Nofima’s Chief Librarian.

Kjetil Aune
Chief Librarian
kjetil.aune@nofima.no

Topics associated with the publication

Data analysis

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