Cage of covariance in calibration modeling: Regressing multiple and strongly correlated response variables onto a low rank subspace of explanatory variables-Reference-Cited by-同舟云学术

Cage of covariance in calibration modeling: Regressing multiple and strongly correlated response variables onto a low rank subspace of explanatory variables

Published:2021-06 Issue: Volume:213 Page:104311
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Eskildsen Carl Emil^ORCID,Næs Tormod,Skou Peter B.^ORCID,Solberg Lars Erik,Dankel Katinka R.^ORCID,Basmoen Silje A.,Wold Jens Petter,Horn Siri S.^ORCID,Hillestad Borghild^ORCID,Poulsen Nina A.^ORCID,Christensen Mette,Pieper Theo,Afseth Nils Kristian,Engelsen Søren B.^ORCID

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

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4. Quantification of individual fatty acids in bovine milk by infrared spectroscopy and chemometrics: understanding prediction of highly collinear reference variables”;Eskildsen;J. Dairy Sci.,2014

5. Prediction of total fatty acid parameters and individual fatty acids in pork backfat using Raman spectroscopy and chemometrics: understanding the cage of covariance between highly correlated fat parameters;Berhe;Meat Sci.,2016

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