Two multivariable problems of general interest are factor analysis and regression. This paper examines partial least squares (PLS) as a tool for both problems. For single output data sets, the familiar PLS algorithm is applicable to both problems. For multiple output problems the familiar PLS algorithm 1, 2, 3] (called fact-PLS in this paper) is appropriate for factor analysis. However fact-PLS...

When students are dealing with online tutorial, there are challengers they must answer using any skill they have. The challenge and skill must be at the same ‘height’ in order for them to immerse with online tutorial activities. Several aspects will be considered as challenge and skill. One challenge under the scrutiny is the page length used to present course materials. The length of tutorial ...

Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and bagging approaches. In this paper the random forests approach is extended for variable selection with other learning models, in this case Partial Least Squares (PLS) and Kernel Partial Least Squares (K-PLS) to estimat...

The utilisation of social media in the workplace has attracted much speculation in the business community in relation to its risks and benefits. However, intra-organisational dimensions affecting such ustilisation are yet to be holistically considered. Grounded in the scholarly literature, a survey questionnaire was operationalized and empirical data collected and analysed using PLS. The result...

The PLS B algorithm is used as a tool to investigate the relationships among several data sets. The ,rst step of this algorithm entails an iterative procedure the convergence of which is not proved. In this paper, an alternative procedure is discussed. It achieves the same purpose and its convergence is proven. c © 2003 Elsevier B.V. All rights reserved.

Computer task performance is an essential driver of end user productivity. Recent research indicates that computer self-efficacy (CSE) is an important determinant of computer task performance. Contrary to the significant interest in understanding the role of CSE in predicting computer task performance, little attention has been given to understanding the role of personal goal (PG), which can be...

Ten years ago, Bhattacherjee proposed the information system continuance model, which received considerable attention in the literature. This study proposes an extended information system continuance model by incorporating system quality to the original model in the context of educators’ utilization of e-learning technology for conducting courses. Our proposed model is tested using a sample of ...

Although interorganizational information system can facilitate supply chain integration and supply chain agility, unintended outcomes may occur if partners possess distinct knowledge about the use of IOS. Based on Foucault’s theory of power/knowledge, institutional theory and resource dependence theory, we analyze how various power relations work together to facilitate the institutionalization ...

Linear discriminant analysis (LDA) is a classical statistical approach for dimensionality reduction and classification. In many cases, the projection direction of the classical and extended LDA methods is not considered optimal for special applications. Herein we combine the Partial Least Squares (PLS) method with LDA algorithm, and then propose two improved methods, named LDA-PLS and ex-LDA-PL...