1. A method for predicting a response of a patient to a selected treatment for unipolar depression from at least one pre-treatment clinical symptom, comprising: a.) performing at least one measurement of said pre-treatment clinical symptom on said patient and measuring said pre-treatment clinical symptom which is a predictive symptom selected from the group consisting of predictive symptoms so as to derive data for a baseline patient profile; b.) defining a set of a plurality of predictor variables which define said data for said baseline patient profile, said set of predictor variables comprising said predictive symptoms and a set of treatment options; c.) deriving a model that represents a relationship between a response of a patient in a study and said set of predictor variables, said relationship derived through using at least one automated non-linear algorithm; and d.) utilizing said model of step c) to predict the response of said patient to the selected treatment.