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Afanador, N. L., Tran, T. N., Blanchet, L., & Buydens, L. M. C. (2014). Variable importance in PLS in the presence of autocorrelated data—Case studies in manufacturing processes. Chemometrics and Intelligent Laboratory Systems, 139, 139-145.
Afanador, N. L., et al. "Variable importance in PLS in the presence of autocorrelated data—Case studies in manufacturing processes." Chemometrics and Intelligent Laboratory Systems 139 (2014): 139-145.
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NL Afanador, TN Tran, L Blanchet… - … and Intelligent Laboratory …, 2014 - Elsevier

Variable importance in PLS in the presence of autocorrelated data—Case studies in manufacturing processes.

case studies

Blanchet

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An integral part of interpreting atypical process performance in manufacturing processes is a multivariate understanding of process parameters and their relationship to a product's critical quality attributes. In this endeavor, Partial Least Squares (PLS) has greatly advanced the …

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