The main contributions of this paper can be summarized as follows. First, we compare the Partial Least Squares (PLS) and the Principal Component Analysis (PCA), under fairly general conditions. (In particular, the existence of a true linear regression is not assumed.) We prove that PLS and PCA are equivalent, to within a rst-order approximation, hence providing a theoretical explanation for emp...

In service industries, companies increasingly need to rely on the performance of their service employees to become and stay truly competitive. Despite this viewpoint, most administrators do not believe that they can make competitive advantage in their organizations through employees. Therefore, the present paper aims to study the effect of employee branding on market share based on individual a...

The present paper analyses the influence of entrepreneurial orientation (integrated approach) and its dimensions (individual approach) on hotel performance. We pose a structural equation model (SEM) Partial Least Square (PLS) through Smart PLS 3.1.9 on a dataset obtained by means of a questionnaire emailed to 102 hotel directors between January and June 2014. The most relevant contribution of t...

In this work, we develop a fast sequential lowrank tensor regression framework, namely recursive higher-order partial least squares (RHOPLS). It addresses the great challenges posed by the limited storage space and fast processing time required by dynamic environments when dealing with largescale high-speed general tensor sequences. Smartly integrating a low-rank modification strategy of Tucker...

How to relate two blocks of variables? Partial least squares Analysis two-block pls u, v u'u = v'v = 1 Low-dimensional representation of the pattern of correlations/ covariances between two blocks of variables: A second dimension can be computed as directions orthogonal to the first ones, accounting for the second most correlation/covariance. A direction in each of the two data spaces, for whic...

Visible and near-infrared hyperspectral imaging covering spectral range of 380-1030 nm as a rapid and non-destructive method was applied to estimate the soluble protein content of oilseed rape leaves. Average spectrum (500-900 nm) of the region of interest (ROI) of each sample was extracted, and four samples out of 128 samples were defined as outliers by Monte Carlo-partial least squares (MCPLS...

Two chemometric methods were developed for the simultaneous determination of telmisartan and hydrochlorothiazide. The chemometric methods applied were principal component regression (PCR) and partial least square (PLS-1). These approaches were successfully applied to quantify the two drugs in the mixture using the information included in the UV absorption spectra of appropriate solutions in the...

Panax ginseng C.A. Meyer is a herb used for medicinal purposes, and its discrimination according to cultivation age has been an important and practical issue. This study employed Fourier-transform infrared (FT-IR) spectroscopy with multivariate statistical analysis to obtain a prediction model for discriminating cultivation ages (5 and 6 years) and three different parts (rhizome, tap root, and ...

Mango is a kind of popular tropical fruit, and the soluble solid content is an important in this study visible and short-wave near-infrared spectroscopy (VIS/SWNIR) technique was applied. For sake of investigating the feasibility of using VIS/SWNIR spectroscopy to measure the soluble solid content in mango, and validating the performance of selected sensitive bands, for the calibration set was ...