A comparison of various methods for multivariate regression with highly collinear variables-Reference-Cited by-同舟云学术

A comparison of various methods for multivariate regression with highly collinear variables

Published:2006-10-27 Issue:2 Volume:16 Page:193-228
ISSN:1618-2510
Container-title:Statistical Methods and Applications
language:en
Short-container-title:Stat. Meth. & Appl.

Author:

Kiers Henk A. L.,Smilde Age K.

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s10260-006-0025-5.pdf

Reference24 articles.

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2. Bro R (1996) Multiway calibration. Multilinear PLS. J Chemometrics 10: 47–61

3. Brooks R, Stone M (1994) Joint continuum regression for multiple predictands. J Am Stat Assoc 89: 1374–1377

4. Coxe KL (1986) Principal components regression analysis. In: Encyclopedia of Statistical Sciences, vol. 7, Johnson NL, Kotz S (Eds), Wiley, New York, pp. 181–186

5. D’Ambra L, Lauro N (1982) Analisi in componenti principali in rapporto ad un sottospazio di riferimento. Rivista di Statistica Applicata 1 .

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