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CLO stands for constrained linear ordination, and is fitted with a statistical class of models called reduced-rank vector generalized linear models (RR-VGLMs). It allows for generalized reduced-rank regression in that response types such as Poisson counts and presence/absence data can be handled.
Currently in the VGAM package,
used to fit RR-VGLMs. However, the Author's opinion is that
linear responses to a latent variable (composite environmental
gradient) is not as common as unimodal responses, therefore
cqo is often more appropriate.
The new CLO/CQO/CAO nomenclature described in Yee (2006).
Nothing is returned; an error message is issued.
Thomas W. Yee
Yee, T. W. (2006). Constrained additive ordination. Ecology, 87, 203–213.
Yee, T. W. and Hastie, T. J. (2003). Reduced-rank vector generalized linear models. Statistical Modelling, 3, 15–41.
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## Not run: clo() ## End(Not run)
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