This book provides an introduction to econometric computing with R; it is not an econometrics textbook. the book might be suitable as a “second book” for a course with sufficient emphasis on applications and practical issues at the intermediate or beginning graduate level. It is hoped that it will also be useful to professional economists and econometricians who wish to learn R. We cover linear regression models for cross-section and time series data as well as the common nonlinear models of microeconometrics, such as logit, probit, and tobit models, as well as regression models for count data.