Hello multivariate gurus,

I have a question regarding RDA multivariate analysis. Typically this is used to explain variation in a species/abundance dataset using envinonmental variables as a predictor dataset. However, is it still possible to use this for predicting eg a set of fitness variables by using a species dataset as the predictor? Essential reversing the typican rda use by having as the y dataset the "env" and as the x dataset the species dataset. If not, is there any other multivariate analysis that could do the job?

Thanks in advance!

sofie

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