Partial least square (PLS) methods (also sometimes called projection to latent structures) relate the information present in two data tables that collect measurements on the same set of observations. PLS methods proceed by deriving latent variables which are (optimal) linear combinations of the variables of a data table. When the goal is to find the shared information between two tables, the ap...

New properties of latent root regression are shown aiding insight into the determination of a prediction model. Moreover, a procedure for the determination of a prediction model is discussed. It has similarities to partial least squares and di,er from the latter method only in the way components used as predictors are formed. This procedure is extended to the case where the problem at hand conc...

In the estimation of models with averaged data, weighted least squares is often used and recommended as a way of improving the e¢ciency of the estimator. However, if the size of the di¤erent groups is not conditionally independent of the regressand, consistent estimation may not be possible at all. It is argued that in the case of some leading examples of averaged data regression, consistent es...

In this paper, we present a system that automatically generates caricatures from input face images. From example caricatures drawn by an artist, our caricature system learns how an artist draws caricatures. In our approach, we decouple the process of caricature generation into two parts, i.e., shape exaggeration and texture style transferring. The exaggeration of a caricature is accomplished by...

This study presents a conceptual model to investigate the e-health readiness required by healthcare organization and the impact of such readiness in enhancing e-health transformation success. A scale to measure e-health readiness was developed and validated; then it was used to collect the large-scale survey data. The partial least squares (PLS) method was used to empirically test the conceptua...

Electronic health records (EHRs) have been proposed as a sustainable solution for improving the quality of medical care. This study investigates how EHR use, as implemented and utilized, impacts patient safety and quality performance. Data in this paper include nonfederal acute care hospitals in the state of Texas, and the data sources include the American Hospital Association, the Dallas Fort ...

In a very competitive mobile telecommunication business environment, marketing managers need a business intelligence model that allows them to maintain an optimal (at least a near optimal) level of churners very effectively and efficiently while minimizing the costs throughout their marketing programs. As a first step toward optimal churn management program for marketing managers, this paper fo...

In this paper, we discuss new formulations of both redundancy analysis (RA) and partial least squares regression (PLS) which clearly show the connection between these two methods. These new formulations also show that RA and PLS regression are the two end points of a continuum approach that we propose to investigate. Moreover, it enjoys very interesting properties which highlight the rational o...

To promote the adoption of PHR system, understanding the factors that affect patients’ adoption of PHR system is of necessity. Based on previous research, this paper tries to develop a model to explore those elements that influence the behavior intentions of patients from the perspective of consumers. It is assumed that individual features and environmental features affect individuals’ attitude...

Collaboration technologies are heavily used in organizations enabling employees to communicate, cooperate, and collaborate with each other. There exist much research investigating why different people are using different kinds of collaboration technologies, but some of the research results on technology acceptance are contradictious. A reason for these inconsistent results may be unobserved het...