[R-sig-eco] Error in La.svd(x, nu, nv) : error code 1 from Lapack routine 'dgesdd'

[Jesse_B]

Question 1 - It's been a while, so I don't know who will see this, but I am
having the same issue.  I have count data from two species matrices (fish
and inverts) and I am trying to run CoCA through cocorresp.  Symmetric CoCA
works fine, and is the main thing that I need, but I would like to be able
to switch predictor-response species matrices in a predictive CoCA, to see
if there are differing patterns of top-down/bottom-up concordance.   I have
substantial skew in the data, so I have log+1 transformed both sets of data. 
I can run crossval on the raw data (not transformed, 99 samples [33 sites
over 3 seasons], 72 fish species, 226 invert species, individual numbers are
in the same ranges, between 0 and 10K for both fish and inverts), but on the
transformed data, I get the "Error in La.svd(x, nu, nv) : error code 1 from
Lapack routine 'dgesdd' " message consistently on the 5th site.  I am
comfortable _using_ R and the vegan package in particular, but I am not
experienced in more deep coding, so I don't have a handle on how to turn
LINPACK on.  R version 2.15.2, vegan 2.0-4, cocorresp 0.2-0

> crossval(fishlog,invertlog)
LOO - Site: 1 - Complete
LOO - Site: 2 - Complete
LOO - Site: 3 - Complete
LOO - Site: 4 - Complete
LOO - Site: 5Error in La.svd(x, nu, nv) : error code 1 from Lapack routine
'dgesdd'

Question 2 - Is it possible to run crossval on matricies for a CCA? to make
it a PLS-CCA (as in Schaffers et al. 2008) or am I misunderstanding the
process that they used?

Thanks in advance!

Jesse




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