Use of the bootstrap and permutation methods for a more robust variable importance in the projection metric for partial least squares regression

Analytica Chimica Acta

Volumn 768, Issue 1, 2013, Pages 49-56

  Afanador, N L ^a,c   Tran, T N ^b   Buydens, L M C ^c  

^a MERCK RESEARCH LABORATORIES   (United States)

^b NV ORGANON   (Netherlands)

^c RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

Author keywords

Bootstrapping; Partial least squares; Permutation; Variable importance

Indexed keywords

MANUFACTURE; PROCESSING;

BOOTSTRAPPING; MANUFACTURING PROCESS CHANGES; PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST SQUARES REGRESSION; PERMUTATION; SELECTION OF VARIABLES; VARIABLE IMPORTANCES; VARIABLE SELECTION METHODS;

LEAST SQUARES APPROXIMATIONS;

ALGORITHM; ARTICLE; BOOTSTRAPPING; DATA ANALYSIS; GOOD MANUFACTURING PRACTICE; PARTIAL LEAST SQUARES REGRESSION; PREDICTOR VARIABLE; PRIORITY JOURNAL; ROOT CAUSE ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 84875087248     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2013.01.004     Document Type: Article

References (15)

1. Wiener M.C., Obando L., O'Neill J. Qual. Eng. 2010, 22:157-168.
2. Wold S., Sjostrom M., Eriksson L. Chemom. Intell. Lab. Syst. 2001, 58:109-130.
3. Chong I.-G., Jun C.-H. Chemom. Intell. Lab. Syst. 2005, 78:103-112.
4. Phatak A., De Jong S. J. Chemometr. 1997, 11:311-338.
5. Efron B., Gong G. Am. Stat. 1983, 37(February (1)):36-48.
6. Breiman L. Stat. Sci. 2001, 16(3):199-231.
7. Strobl C., et al. BMC Bioinform. 2008, 9:307.
8. Lazraq A., Cleroux R., Gauchi J.-P. Chemom. Intell. Lab. Syst. 2003, 117-126.
9. Gauchi J.-P., Chagnon P. Chemometr. Intell. Lab. Syst. 2001, 58:171-193.
10. Umetrics©, SIMCA-P+®, Version 12.0.1.0 2009.
11. Alfons A. cvTools: Cross-validation Tools for Regression Models. R Package Version 0.3.2 2012, http://cran.r-project.org/package=cvTools.
12. Mevik B.-H., Wehrens R., Liland K.H. pls: Partial Least Squares and Principal Component Regression. R Package Version 2.3-0 2011, http://cran.r-project.org/package=pls.
13. Wickham H. ggplot2: Elegant Graphics for Data Analysis 2009, Springer, New York.
14. R Development Core Team R: A Language and Environment for Statistical Computing 2011, R Foundation for Statistical Computing, Vienna, Austria, ISBN: 3-900051-07-0, URL: http://www.R-project.org/.
15. Efron B., Stein C. Ann. Stat. 1981, 9(May (3)):586-596.