mobforest.output: Model-based random forest object
In mobForest: Model Based Random Forest Analysis

Random Forest Output object that stores all the results including predictions, variable importance matrix, model, family of error distributions, and observed responses.

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mobforest.output(oob_predictions, general_predictions,
  new_data_predictions, varimp_object, model_used, family, train_response,
  new_response = data.frame(matrix(0, 0, 0)))

`oob_predictions`	Predictions on out-of-bag data.
`general_predictions`	Predictions on learning data.
`new_data_predictions`	Predictions on new test data.
`varimp_object`	The variable importance object.
`model_used`	The model used.
`family`	A description of the error distribution and link function to be used in the model.
`train_response`	Response outcome of training data.
`new_response`	Response outcome of test data.