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Regression on parameters from three‐way decomposition
Author(s) -
Geladi Paul,
Xie YuLong,
Polissar Alexandr,
Hopke Philip
Publication year - 1998
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/(sici)1099-128x(199809/10)12:5<337::aid-cem517>3.0.co;2-1
Subject(s) - multivariate statistics , regression , interpretation (philosophy) , calibration , decomposition , chemometrics , regression analysis , linear regression , statistics , computer science , mathematics , econometrics , data mining , machine learning , chemistry , organic chemistry , programming language
This paper presents work on the combination of (a) environmental chemistry, (b) three‐way analysis by Parafac constrained to non‐negative results and (c) multivariate calibration. For two different environmental examples it is shown how the loading parameters from an independent three‐way analysis can be used in a regression against external data. This combination leads to an easier interpretation of the results. The data are from Arctic aerosol studies. The subjectively obtained Parafac loadings are regressed against temperature anomalies. © 1998 John Wiley & Sons, Ltd.