The first book to discuss robust aspects of nonlinear regressionwith applications using R software Robust Nonlinear Regression with Applications using R covers a variety of theories and applications of nonlinear robust regression. It discusses both parts of the classic and robust aspects of nonlinear regression and focuses on outlier effects. It develops new methods in robust nonlinear regression and implements a set of objects and functions in Slanguage under SPLUS and R software. The softwa