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Determinants behaviour analysis of demand for passengers to the Portuguese air travel leisure market : application with partial least squares regression
Vicente, José Manuel; Dionísio, Andreia Teixeira Marques - In: International journal of business excellence : IJBEX 26 (2022) 2, pp. 161-178
Persistent link: https://www.econbiz.de/10013198149
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A multicollinearity and measurement error statistical blind spot : correcting for excessive false positives in regression and PLS
Goodhue, Dale L.; Lewis, William; Thompson, Ron - In: Management information systems : mis quarterly 41 (2017) 3, pp. 667-684
Persistent link: https://www.econbiz.de/10011740838
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Bankruptcy prediction using partial least squares logistic regression
Jabeur, Sami Ben - In: Journal of retailing and consumer services 36 (2017), pp. 197-202
Persistent link: https://www.econbiz.de/10011697998
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The three-pass regression filter : a new approach to forecasting using many predictors
Kelly, Bryan T.; Pruitt, Seth - In: Journal of econometrics 186 (2015) 2, pp. 294-316
Persistent link: https://www.econbiz.de/10011349476
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Segmentation of PLS path models by iterative reweighted regressions
Schlittgen, Rainer; Ringle, Christian M.; Sarstedt, Marko; … - In: Journal of business research : JBR 69 (2016) 10, pp. 4583-4592
Persistent link: https://www.econbiz.de/10011554712
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An empirical comparison of principal components and partial least squares regression for high-dimensional data
Sapra, Sunil K. - In: The empirical economics letters : a monthly … 16 (2017) 10, pp. 995-1002
Persistent link: https://www.econbiz.de/10011907062
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The degrees of freedom of partial least squares regression
Krämer, Nicole; Sugiyama, Masashi - In: Journal of the American Statistical Association : JASA 106 (2011) 494, pp. 697-705
Persistent link: https://www.econbiz.de/10009268885
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Segmentation of PLS Path Models by Iterative Reweighted Regressions
Schlittgen, Rainer - 2017
Uncovering unobserved heterogeneity is a requirement to obtain valid results when using structural equation modeling (SEM). Conventional segmentation methods usually fail in an SEM context because they account for the indicator data, but not for the latent variables and their relationships in...
Persistent link: https://www.econbiz.de/10012954430
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Handbook of partial least squares : concepts, methods and applications
Esposito Vinzi, Vincenzo (contributor) - 2010
Persistent link: https://www.econbiz.de/10014013078
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Sparse partial robust M regression
Hoffmann, Irene; Serneels, Sven; Filzmoser, Peter; … - 2015
Persistent link: https://www.econbiz.de/10011290635