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Multivariate curve resolution of step-scan FTIR spectral data

✍ Scribed by Cyril Ruckebusch; Ludovic Duponchel; Jean-Pierre Huvenne; Javier Saurina


Book ID
108298343
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
192 KB
Volume
35
Category
Article
ISSN
0924-2031

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## Abstract Modeling NMR‐based metabolomics data often involves linear methods such as principal component analysis (PCA) and partial least squares (PLS). These methods have the objective of describing the main variance in the data and maximum covariance between the predictor variables and some res