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Gini-PLS Regressions [PDF]

Journal of Quantitative Economics, 2018
Data contamination and excessive correlations between regressors (multicollinearity) constitute a standard and major problem in econometrics. Two techniques enable solving these problems, in separate ways: the Gini regression for the former, and the PLS (partial least squares) regression for the latter.
Mussard, Stéphane, Souissi-Benrejab, Fattouma   +1 more
openaire   +4 more sources

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Calibration Transfer of PLS Regression Models Between Desktop NMR Spectrometers.

Analytical Chemistry, 2020
Low-field proton nuclear magnetic resonance (LF-1H NMR) devices based on permanent magnets are a promising analytical tool to be extensively applied to the Process Analytical Chemistry (PAC) scenario.
Diego Galvan, Evandro Bona, D. Borsato, Ernesto P. Danieli, Mário Henrique Montazzolli Killner   +4 more
semanticscholar   +1 more source

Quantification of re-refined engine oil bottoms (REOB) in asphalt binder using ATR-FTIR spectroscopy associated with partial least squares (PLS) regression

International Journal on Road Materials and Pavement Design, 2020
Re-refined Engine Oil Bottoms (REOB) has been used in recycled asphalt materials for flexible pavements in recent decade, due to its effects on softening aged binder and relatively low cost.
Chuanqi Yan, Weidong Huang, Jing Xu, Huaguang Yang, Yuan Zhang, H. Bahia   +5 more
semanticscholar   +1 more source

PLS Beta Regression

2012
De nombreuses variables d'intérêt, comme par exemple des résultats expérimentaux, des rendements ou des indicateurs économiques, s'expriment naturellement sous la forme de taux, de proportions ou d'indices dont les valeurs sont nécessairement comprises entre zéro et un ou plus généralement deux valeurs fixes connues à l'avance.
Bertrand, Frédéric, Meyer, Nicolas, Beau-Faller, Michèle, El Bayed, Karim, Namer, Izzie-Jacques, Maumy-Bertrand, Myriam   +5 more
openaire   +4 more sources

Generalized PLS regression

Journal of Chemometrics, 2001
AbstractThe present paper develops a class of generalized partial least squares (GPLS) regression methods. GPLS can be regarded as a kind of weighted partial least squares regression method. Two special cases of them, ridge partial least squares (RPLS) and generalized ridge partial least squares (GRPLS) regression methods, are discussed in detail. RPLS
Qing‐Song Xu, Yi‐Zeng Liang, Hai‐Lin Shen   +2 more
openaire   +1 more source

Application of NIRS coupled with PLS regression as a rapid, non-destructive alternative method for quantification of KBA in Boswellia sacra.

Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2017
A. Al‐Harrasi, N. Rehman, F. Mabood, Muhammaed Albroumi, Liaqat Ali, J. Hussain, H. Hussain, R. Csuk, Abdul Latif Khan, T. Alam, S. Alameri   +10 more
semanticscholar   +3 more sources

Predicting cetane number in diesel fuels using FTIR spectroscopy and PLS regression

, 2020
Cetane number (CN) is an important property which indicates the ignition quality of fuels and especially diesel oil. The usual method for CN determination is a most involving and risky task that requires specific devices.
I. Barra, M. Kharbach, E. Qannari, M. Hanafi, Y. Cherrah, A. Bouklouze   +5 more
semanticscholar   +1 more source

Prediction of fatty acid composition in camellia oil by 1H NMR combined with PLS regression.

Food Chemistry, 2019
A rapid method for the determination of fatty acid (FA) composition in camellia oils was developed based on the 1H NMR technique combined with partial least squares (PLS) method. Outliers detection, LVs optimization and data pre-processing selection were
Mengting Zhu, Tingting Shi, Yi Chen, Shuhan Luo, Tuo Leng, Yangling Wang, Cong Guo, M. Xie   +7 more
semanticscholar   +1 more source

Functional PLS logit regression model

Computational Statistics & Data Analysis, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Escabias Machuca, Manuel, Aguilera Del Pino, Ana María, Valderrama Bonnet, Mariano José   +2 more
openaire   +2 more sources

Artificial neural networks (ANNs) and partial least squares (PLS) regression in the quantitative analysis of cocrystal formulations by Raman and ATR‐FTIR spectroscopy

Journal of Pharmaceutical and Biomedical Analysis, 2018
HIGHLIGHTSRational design of optimal ANN architecture is enabled by DOE.ANNs combined with ATR‐FTIR spectroscopy showed improved fitting compared to Raman spectroscopy.ANN showed superior performance compared to PLS.
P. Barmpalexis, A. Karagianni, I. Nikolakakis, K. Kachrimanis   +3 more
semanticscholar   +1 more source