Significance of the structure of data in partial least squares regression predictions involving both natural and human experimental design

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@article{e458c92e2955412981c6307e5ec5d8ba,

title = "Significance of the structure of data in partial least squares regression predictions involving both natural and human experimental design",

author = "{\AA}smund Rinnan and Lars Munck",

year = "2012",

month = apr,

doi = "10.1002/cem.2438",

language = "English",

volume = "26",

pages = "487--495",

journal = "Journal of Chemometrics",

issn = "0886-9383",

publisher = "Wiley",

number = "8-9",

}

TY - JOUR

T1 - Significance of the structure of data in partial least squares regression predictions involving both natural and human experimental design

AU - Rinnan, Åsmund

AU - Munck, Lars

PY - 2012/4

Y1 - 2012/4

U2 - 10.1002/cem.2438

DO - 10.1002/cem.2438

M3 - Journal article

VL - 26

SP - 487

EP - 495

JO - Journal of Chemometrics

JF - Journal of Chemometrics

SN - 0886-9383

IS - 8-9

ER -