Hi,

I am trying to fit a ANCOVA model using lmRob. The P-values of the
variables in the model differ hugely between the summary() function and
the anova() function (from >0.8 in the summary to <0.001in the anova for
the same variable). I understand that with an ANCOVA the order in which
the variables are added to the model matters and that this influences
the P-value, but can this make such a big difference? 
Which P-values are best to use? Also, could this be an indication
something is wrong with my model?

Any help would be greatly appreciated!
Thanks,
Geertje

~~~~
Geertje van der Heijden
PhD student
Tropical Ecology
School of Geography
University of Leeds
Leeds LS2 9JT

Tel: (+44)(0)113 3433345 
Email: g.m.f.vanderheijden04@leeds.ac.uk



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