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1. coefficients for GLM (score: 1): Author: Trevor Parker <trevor.parker@tfrc.csiro.au>; Date: Mon, 05 Feb 2001 09:30:43 +1000; Hello S-plus enthusiasts, I have run a GLM using 2 degree poynomials as independents. The model looks like this: forest.object <- glm(forest ~ poly(slope,2) + poly(aspectns,2), family=binomial(logit); /archives/html/s-news/2001-02/msg00035.html (7,554 bytes)
2. Re: coefficients for GLM (score: 1): Author: Prof Brian D Ripley <ripley@stats.ox.ac.uk>; Date: Mon, 5 Feb 2001 08:01:50 +0000 (GMT); This is well known and well documented. You need to use predict.gam, not predict.glm. See for example Venables & Ripley (1999, p.166). -- Brian D. Ripley, ripley@stats.ox.ac.uk Professor of Applied S; /archives/html/s-news/2001-02/msg00038.html (8,547 bytes)

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