The application of chemometrics to analyze the information of the cis/trans structure of alkenes in infrared spectra (IR) is introduced. For data from the OMNIC IR spectral database, two feature selection methods, Fisher ratios and genetic algorithm-partial least squares (GA-PLS), and two classification methods, support vector machine (SVM) and probabilistic neural network (PNN), have been used...

Hybrid linear analysis (HLA), partial least-squares (PLS) regression, and the linear least square support vector machine (LSSVM) were used to determinate the soluble solids content (SSC) of apple by Fourier transform near-infrared (FT-NIR) spectroscopy. The performance of these three linear regression methods was compared. Results showed that HLA could be used for the analysis of complex solid ...

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...

Signaling networks are made up of limited numbers of molecules and yet can code information that controls different cellular states through temporal patterns and a combination of signaling molecules. In this study, we used a data-driven modeling approach, the Laguerre filter with partial least square regression, to describe how temporal and combinatorial patterns of signaling molecules are deco...