Using all variables in Treebagger for RF regression

I have a dataset with 4 variables and 1 predictor output. As random forest by nature takes a random number of variables from 1 to n where n is the number of features, to split at each node. But if I set the number of features to take to n (i.e. Take all 4 variables) will the algorithm still be random forest, or will it becomes something else?