Abstract—The production of business analytics inevitably involves applying some statistical procedures to a data set related to the decision problem for a particular scenario. In light of the sheer volume of the data set, it is very often that the computation chores rely very much upon statistical software or others alike. Most of the software for producing business analytics on the market is proprietary with little openness. In this research we exploit the idea of statistical analysis as a service on the cloud and develop a web-based multiple regressor for data analysis. To maintain the portability of the multiple regressor to a maximum degree, the regressor is implemented using Java technology on an open platform with R providing analytic functions. Results of this research have a potential to address issues such as the staggering cost of license fees of commercial packages for SMBs and the geography limitations on where the analytic service is available. This research also reveals the promising future of open-source ware in business applications.

Index Terms—Multiple regression analysis, java, R, active support, cloud computing.

Chien Ho Wu is with the Statistics and Information Science Department, Fu Jen Catholic University of New Taipei City, 24205 Taiwan (e-mail: 052845@mail.fju.edu.tw).

Cite: Chien Ho Wu, "A Web-Based Multiple Regressor for Data Analysis Using R," International Journal of Computer and Communication Engineering vol. 3, no. 3, pp. 216-220, 2014.