Objects for Predicting Energy Expenditure R package EE.Data version 0.1.1 This is a data-only package containing model objects that predict human energy expenditure from wearable sensor data. Supported methods include the neural networks of Montoye et al. (2017) <doi:10.1080/1091367X.2017.1337638> and the models of Staudenmayer et al. (2015) <doi:10.1152/japplphysiol.00026.2015>, one a linear model and the other a random forest. The package is intended as a spoke for the hub-package 'accelEE', which brings together the above methods and others from packages such as 'Sojourn' and 'TwoRegression.' Software Depends: R (>= 2.10) Suggests: nnet, randomForest Paul R. Hibbing <paulhibbing@gmail.com> Comprehensive R Archive Network (CRAN) Paul R. Hibbing [aut, cre], Alexander H.K. Montoye [ctb], John Staudenmayer [ctb], Children's Mercy Kansas City [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=EE.Data/LICENSE) 2026-04-01 application/tgz https://CRAN.R-project.org/package=EE.Data doi:10.32614/CRAN.package.EE.Data