The book "Nonlinear Regression with R" provides a comprehensive introduction to nonlinear regression analysis using the R programming language. It is aimed at professionals and students in the applied sciences who wish to develop a deeper understanding of the application of R in statistical analysis. Through a variety of examples from different disciplines such as biology, chemistry, engineering, medicine, and toxicology, the reader is equipped to utilize the diverse capabilities of R for nonlinear regression. The authors, Christian Ritz and Jens Carl Streibig, explain the essential functions and techniques necessary for conducting nonlinear regression analyses and offer valuable insights into model fitting, diagnostics, and hypothesis testing. The book is a valuable resource for anyone engaged with statistical methods in research and practice.