Removing 0 values to improve model fitting for academic purposes
Hi there, I have a data file containing volatile concentrations measured for 34 different sample formulations. Now, I'm trying to model the volatiles found (response) to the formulations (predictors). However, as not all formulations lead to the same produced volatiles, I have quite some 0 values (not-detected) in my data. This causes quite a lot of my volatile data to follow a SASH or Johnson dis...