Bayesian Additive Regression Trees (BART) is a tree-based machine learning method that has been successfully applied to regression and classification problems. BART assumes regularisation priors on set of trees work as weak learners very flexible for predicting in the presence non-linearity high-order interactions. In this paper, we introduce an extension BART, called Model (MOTR-BART), conside...