I used to handle most of the time species count data. The approach in my group was to do a multivariate analysis of variance, and if there were many dependent variables, we tried to find the ones contributing to the patterns with an ANOSIM. Now, I'm also working with non-count data (e.g. substance concentrations) and I've been reading about ANOSIM drawbacks, however, I'm struggling to understand what approach would be appropriate to achieve the same goal.
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$\begingroup$ Find Y that's most cause by A B C isn't a statistics problem. We ask what A B C most affects Y. Given A B C what do they lead to? Cheese, pie, apples, what is most caused by them? $\endgroup$– GermaniaAug 5 at 15:33
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