Perform Nonlinear Regression Using 'optim' as the Optimization Engine R package OptimModel version 2.0-3 A wrapper for 'optim' for nonlinear regression problems; see Nocedal J and Write S (2006, ISBN: 978-0387-30303-1). Performs ordinary least squares (OLS), iterative re-weighted least squares (IRWLS), and maximum likelihood (MLE). Also includes the robust outlier detection (ROUT) algorithm; see Motulsky, H and Brown, R (2006) <doi:10.1186/1471-2105-7-123>. Software Depends: R (>= 3.0.0),stats, utils, methods, Matrix Suggests: knitr, testthat, rmarkdown, ggplot2 Steven Novick <Steven.Novick@takeda.com> Comprehensive R Archive Network (CRAN) Steven Novick [aut, cre], Mark Culp [ctb] GPL-2 2025-05-04 application/tgz https://CRAN.R-project.org/package=OptimModel doi:10.32614/CRAN.package.OptimModel