Accurate cancer prediction is important for treatment of cancers. The combination of two dimension reduction methods, partial least squares (PLS) and singular value decomposition (SVD), with the penalized logistic regression (PLR) has created powerful classifiers for cancer prediction using microarray data. Comparing with support vector machine (SVM) on seven publicly available cancer datasets,...

Organizational strategic programs are continuously evolving and gaining the attention of policy makers in order to construct organizations’ ecological socioeconomic systems. The purpose this study is examine relationship between balanced scorecard (BSC) sustainable development involving mediated effect political regulatory influence. To achieve core objectives research, quantitative (positivism...

Manufacturers are increasingly utilizing Internet-based tools to more readily conduct collaborative activities with key business customers. While the emerging conventional wisdom suggests that the greater the extent to which manufacturers engage in Internetenabled commerce with downstream business customers the better the performance, we espouse an alternative view. Consistent with the relation...

One of the assumptions in ordinary least squares (OLS) estimating regression parameter is lack multicollinearity. If multicollinearity exists, Partial Least Square (PLS) and Principal Component Regression (PCR) can be used as alternative approaches to solve problem. This research intends compare those methods modeling factors that influence Human Development Index (HDI) North Sumatra Province 2...

Partial least square (PLS) analysis is the most favourite tool in chemometrics to develop calibration models. PLS technique allows us decipher even complex systems by analysing all variables instead of looking at them one a time. not only capture maximum variation associated with predictor (i.e. spectra) and predicted concentration) but also maximises correlation between them. The present artic...

organizational citizenship behavior is a voluntarily executed behavior emanated by one individual who undertakes to do more than what is elucidated in his/her job description and what is not directly designed by official reward systems in an organization, while it can bring about an improvement in efficiency and effectiveness levels in the organization’s performance. besides, organizational jus...

A method to improve adaptivity of soft sensors is investigated in this paper. Soft sensors have become very important in the chemical industry to achieve a highly efficient, high-quality and safe production system. Among the various methods, partial least squares (PLS) method is the most used for soft sensors. In this research, a co-learning style locally weighted PLS method which utilizes a se...

Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied scientists routinely use PLS for classification and there is substantial empirical evidence to suggest that it performs well in that role. The interesting question is: why can a procedure that is principally designed for overdetermined regression problems locate and emphas...

The objective of this study is to examine the influence Classroom Action Research and Innovation on Incentives, with Competence serving as mediating variable. variables investigated in research are Research, Innovation, Competence, Teacher Professionalism. data collection method employed was a survey conducted through distribution questionnaires. analysis using Smart PLS 3.2.8 software, specifi...

A wide variety of neural and statistical methods are available for nonlinear empirical modeling based on different modeling approaches. Selecting the best method for a given task requires deep understanding of their similarities and differences and a systematic approach to method selection. This paper presents a common framework for gaining insight into neural and statistical modeling methods. ...