A COMPARISON OF PARTIAL LEAST SQUARES REGRESSION WITH OTHER PREDICTION METHODS
Özgür Yeniay, Atila Göktaş · DergiPark (Istanbul University) · 2001
The aim of this study is to compare popular regression methods with the partial least squares method.The paper presents a theoretical point of view, as well as an application on a real data set.It is found that partial least squares regression yields somewhat better results in terms of the predictive ability of models obtained when compared to the other prediction methods.