The diversity in the applications of partial least squares: an overview
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Title
The diversity in the applications of partial least squares: an overview
Authors
Keywords
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Journal
JOURNAL OF CHEMOMETRICS
Volume 30, Issue 1, Pages 4-17
Publisher
Wiley
Online
2015-10-05
DOI
10.1002/cem.2762
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- (2008) Ståle Nygård et al. LIFETIME DATA ANALYSIS
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- (2008) Siavash Riahi et al. SENSORS AND ACTUATORS B-CHEMICAL
- Comments on: Augmenting the bootstrap to analyze high dimensional genomic data
- (2008) Sündüz Keleş et al. TEST
- A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra
- (2007) Wensheng Cai et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
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