How to transform and model non-normal dataset
Hello, I'm working with a dataset produced from a 5-variable full factorial screening with 3 center points. The raw data is heavily skewed with an exponential distribution. I've tried log, log10, square root and various box-cox transformations and can't seem to get anything even nearly approaching a normal distribution. ConditionPatterndata11+−−+−0.592−+−−−1.63−−−+−1.784+−++−0.455+−−−−1.376−++−−0...