Is the impact of sales promotion on consumer perception mediated by its hedonic and utilitarian benefits in the context of Indian consumers?  Is gender having a moderating impact on the relationship between the benefits of sales promotion and consumer perception?  Authors examined both questions using a partial least square structural equation modeling (PLS-SEM). Findings revealed that hedonic ...

Projection to latent structures or partial least squares (PLS) produces output-supervised decomposition on inputX, while principal component analysis (PCA) produces unsupervised decomposition of inputX. In this paper, the effect of outputYon theX-space decomposition in PLS is analyzed andgeometric properties of the PLS structure are revealed. Several PLS algorithms are compared in a geometric w...

This research was conducted as a preliminary step toward developing a real-time spectral-based nitrogen sensor for citrus trees. Diffuse reflectance of leaf samples, with five nitrogen application rates (0, 112, 168, 224, and 280 kg ha-1), was measured from 400 to 2500 nm using a spectrophotometer in a laboratory environment. A correlation coefficient spectrum, a stepwise multiple linear regres...

Estimating PMI is of great importance in forensic investigations. Although many methods are used to estimate the PMI, a few investigations focus on the postmortem redistribution. In this study, ultraviolet-visible (UV-Vis) measurement combined with visual inspection indicated a regular diffusion of hemoglobin into plasma after death showing the redistribution of postmortem components in blood. ...

In this paper, we use a partial least square (PLS) optimization method as a prediction model to estimate the churn probabilities of customers and as a control model after configuring optimization objective and constraints with relative management costs of controllable variables. In our experiment, we observe that while the training and test data sets are dramatically different in terms of churn...

MOTIVATION The association between two blocks of 'omics' data brings challenging issues in computational biology due to their size and complexity. Here, we focus on a class of multivariate statistical methods called partial least square (PLS). Sparse version of PLS (sPLS) operates integration of two datasets while simultaneously selecting the contributing variables. However, these methods do no...

Development of quality estimation models using near infrared spectroscopy (NIRS) and multivariate analysis has been accelerated as a process analytical technology (PAT) tool in the pharmaceutical industry. Although linear regression methods such as partial least squares (PLS) are widely used, they cannot always achieve high estimation accuracy because physical and chemical properties of a measu...

This paper aims to test the relationships between information exchange benefits and company performance, and the mediating effect of supply chain compliance on this relationship. A sample of 165 buying companies and a sample of 96 suppliers were analyzed by partial least square (PLS) path modeling. Five company characteristics, including company size, company age, company type, quality standard...