Hello, I am trying to figure out what nnet does when you select nnet =TRUE, I understand that it provides you with linear outputs, but I don't understand how it arrives at those linear outputs. I assume that nnet still applies the logistic function as the activation function for the nodes in the hidden layer, but I also assume another activation function must be applied at the output layer in order to return the predictions to the linear scale. I am not able to figure out what is happening from the documentation, could anyone provide more details about what nnet does at the output layer? best, Spencer [[alternative HTML version deleted]]