The paper introduces the *plm* package for R, which aims to simplify the estimation of linear panel models. Panel data econometrics is a crucial field in economics, but many models are difficult to estimate using R. *plm* provides functions to estimate a wide range of models and perform robust inference. The package supports various data structures, including unbalanced panels, and offers tools for data management, estimation, and testing. It includes functions for estimating fixed effects, random effects, and generalized method of moments (GMM) models. The paper also discusses the software approach, data transformation, and formula construction, providing examples and comparisons with other packages like *nlme* and *lme4*. The *plm* package is designed to be user-friendly for econometricians, offering a comprehensive set of tools for panel data analysis.The paper introduces the *plm* package for R, which aims to simplify the estimation of linear panel models. Panel data econometrics is a crucial field in economics, but many models are difficult to estimate using R. *plm* provides functions to estimate a wide range of models and perform robust inference. The package supports various data structures, including unbalanced panels, and offers tools for data management, estimation, and testing. It includes functions for estimating fixed effects, random effects, and generalized method of moments (GMM) models. The paper also discusses the software approach, data transformation, and formula construction, providing examples and comparisons with other packages like *nlme* and *lme4*. The *plm* package is designed to be user-friendly for econometricians, offering a comprehensive set of tools for panel data analysis.