[R] no constant lm adjusted for overall mean

[Kari Ruohonen]

I am analysing mixture experiments with Scheffe polynomials. These don't contain an intercept, which means that usual regression output sums-of-squares are not adjusted for the overall mean. I wonder if there is a way to achieve "overall mean adjusted sums-of-squares" somehow with lm()? I know the alternative is to reparameterise the Scheffe model to contain an intercept but it would be nice to be able to fit the models with Scheffe polynomials directly.

Thanking in advance,

Kari

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Kari Ruohonen
Finnish Game and Fisheries Research Institute
Evo Fisheries Research Station
16970 Evo, Finland
t. +358-20-5751430, +358-40-5238312 (mobile)
f. +358-20-5751429
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