Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)

This volume is the best hands-on R book I could find which opens the door to lm() in R. The book is thin and the contents somewhat dense - there is no room for hand-holding: you need to learn the basics of R and statistical modeling elsewhere. But if you meet the prerequisites, buy the book, read it, and most importantly, TRY THE EXERCISES! GOOD POINTS - exercises (deserves 5+ stars for learning concepts with real data) - short chapters, so you can quickly test your understanding via exercise - chock full of R examples that you can try with library( faraway ) BAD POINTS - proofs are not rigorous enough for mathematicians, but too dense for practitioners (who would prefer more intuition) - helps if you have played with R a bit and understand basic statistics - no answers to exercises