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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Significance of the structure of data in partial least squares regression predictions involving both natural and human experimental design. / Rinnan, Åsmund; Munck, Lars.

In: Journal of Chemometrics, Vol. 26, No. 8-9, 04.2012, p. 487-495.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Rinnan, Å & Munck, L 2012, 'Significance of the structure of data in partial least squares regression predictions involving both natural and human experimental design', Journal of Chemometrics, vol. 26, no. 8-9, pp. 487-495. https://doi.org/10.1002/cem.2438

APA

Rinnan, Å., & Munck, L. (2012). Significance of the structure of data in partial least squares regression predictions involving both natural and human experimental design. Journal of Chemometrics, 26(8-9), 487-495. https://doi.org/10.1002/cem.2438

Vancouver

Rinnan Å, Munck L. Significance of the structure of data in partial least squares regression predictions involving both natural and human experimental design. Journal of Chemometrics. 2012 Apr;26(8-9):487-495. https://doi.org/10.1002/cem.2438

Author

Rinnan, Åsmund ; Munck, Lars. / Significance of the structure of data in partial least squares regression predictions involving both natural and human experimental design. In: Journal of Chemometrics. 2012 ; Vol. 26, No. 8-9. pp. 487-495.

Bibtex

@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",

}

RIS

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 -

ID: 40628274