In the model development, the “leave-one-out” prediction is a way of cross-validation, calculated as below: 1. First of all, after a model is developed, each observation used in the model development is removed in turn and then the model is refitted with the remaining observations 2. The out-of-sample prediction for the refitted model is calculated …