R Programming is used for analyzing data as well as for the prediction of data. Using data models are made to further do analytical analysis. Models once made are then further predicted  using the function predict(). The article further explains the method of prediction using an example. Read more at: 

http://www.dummies.com/programming/r/how-to-predict-new-data-values-with-r/

New technologies are emerging and along with that various analytics tools are also developing. Unlike previously, where building predictive models would take as long as twelve months, it now takes only a day or a week, provided you have the right information in your hands.

 But, wait. Your task does not finish here. You have just built a predictive model. The main thing is how you implement it. Properly deploying your model must be made in a systematic approach, as otherwise, can take months. You have to keep in mind that you have to implement your model in the real world.

How to go about it? Read these tips: http://www.banktech.com/business-intelligence/5-tips-for-operationalizing-analytics/240168237 .