Because I work in prediction mode, I randomly assigned the points to training (70%) or testing (30%) sets to respectively fit and evaluate our future models.
Using univariate ranges
Ionomic ranges are commonly used to differentiate groups of organisms. They are usually reported in terms of concentrations \cite{Neugebauer2018}, unorganized ratios \cite{Bitts_nszky_2016} or log-ratios \cite{Prater_2018}, centered log-ratios \cite{Bar_g_2014} or isometric log-ratio balances \cite{Parent2013}. Balance ranges to diagnose health (of land) with 95% confidence level on the training set would look like the shade region in figure \ref{235902}.