. It relates the saturation temperature T sat with the saturation pressure P sat valid in a limited range of temperatures and pressures. To estimate the parameters, a finite number of P, T noisy data is collected, forming a data set D P,T = {(P sat,1 , T sat,1 ), ...., (P sat,N , T sat,N )}, where N is the number of observations, and used in an estimation problem. In this context, the target variable is usually either the temperature or the logarithm of the pressure, which turns the other variable into a predictor.