Objects for Predicting Energy Expenditure // 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.'