Regression and Model Fitting with Collinearity

Scott Pardo ()
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Scott Pardo: Ascensia Diabetes Care, Global Medical & Clinical Affairs

Chapter Chapter 6 in Statistical Analysis of Empirical Data, 2020, pp 53-62 from Springer

Abstract: Abstract Ordinary least squares does not work when there are more regressors than observations. Several methods can be used to build a (linear) predictive model when there are too few observations or when regressors are correlated with each other.

Keywords: Ordinary least squares; Partial least squares; Ridge regression; LASSO (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-43328-4_6

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DOI: 10.1007/978-3-030-43328-4_6

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