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I want to do a PCA (in R) but I dont know if my data is linear. I conducted an NMDS for Eucladian and Bray-Curtis distance. After removal of 1 variable with many zeros, the NMDS plots are roughly equal.

My assumption is that linear data plotted in non-linear ordination space (Bray-Curtis) results in similar results as linear data plotted in linear ordination space (Euclidian). Is this assumption justified?

Thanks!!

Els
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For decision about linearity/unimodality of data try to use decorana function from vegan package to construct DCA and check length of axis as recommended here.

tlask
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