Predictive Analytics in R

Recommended by a friend who has seen a preprint, available in September:

Modeling Techniques in Predictive Analytics: Business Problems and Solutions with R  by
Thomas W. Miller 

I plan to review (send me
a copy for quick review) ,  Review will appear in Amazon and in my blog.  Here is their description:

" .... This uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you're new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you're already a modeler, programmer, or manager, it will help you master crucial skills you don't yet have.
 Unlike most books on predictive analytics, this guide illuminates the discipline through practical case studies, realistic vignettes, and intuitive data visualizations–not complex mathematics. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through every step: defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more.
 Each chapter focuses on one of today’s most important applications for predictive analytics, giving you the skills and knowledge to put models to work–and gain maximum value from them. ... "