Applied matrix algebra in the statistical sciences Book

I'm a huge fan of this book. It discusses statistical regression at a good amount of depth, from the assumptions behind the model, to model fitting, to evaluation, inference, prediction, diagnostic checks and remedial measures, i.e. everything you want to know about regression. The book has a very good structure and many realistic examples. I wish there were more math derivation in certain chapters. But still, it's such a delight to read. I learned a lot out of it. Highly recommend.