In the context of binary classification with continuous predictors, we proove two properties concerning the connections between Partial Least Squares (PLS) dimension reduction and between-group PCA, and between linear discriminant analysis and between-group PCA. Such methods are of great interest for the analysis of high-dimensional data with continuous predictors, such as microarray gene expre...

This paper proposes a structural model to analyze the relationships between drivers of internalization of quality standards, internalization of quality standards, and performance in the Spanish tourism industry. First, the paper proposes hypotheses based on previous studies about internalization of quality standards and then measures to test the research model using partial least squares (PLS) ...

The shift of consumers buying preference toward green beauty products can alleviate environmental degradation to a certain extent. This study investigated the factors that could affect non-green purchase intention products. Through lens products, norm activation theory was employed as underpinning in this paper. A quantitative method, based on partial least squares structural equation modelling...

Purpose Partial least squares structural equation modeling (PLS-SEM) has become an established social sciences multivariate analysis technique. Since quality management researchers also increasingly using PLS-SEM, this growing interest calls for guidance. Design/methodology/approach Based on guidelines applying PLS-SEM and evaluating the results, research reviews 107 articles method published i...

Nicotine and a variety of other drugs and toxins are metabolized by cytochrome P450 (CYP) 2A6. The aim of the present study was to build a quantitative structure-activity relationship (QSAR) model to predict the activities of nicotine analogues on CYP2A6. Kernel partial least squares (K-PLS) regression was employed with the electro-topological descriptors to build the computational models. Both...