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Hello,

I would do like this: if the slope is a, and it is perfectly known, just
substract a*x from y. If you assume a relationship like y = a*x + b +
epsylon with epsylon having a normal distribution (0, sigma), then, y - a*x
should have a normal distribution (b, sigma), and the mean value of computed
y - a*x should simply be a good estimate of b, the intercept you are looking
for.

Berst Regards,

Philippe Grosjean

Dear all,

I am trying to get an estimate of the intercept for a linear model.  In
this case, I know the slope of the model, can anyone tell me how to
constrain the formula in lm() so that it only estimates the intercept
not the slope?  Many thanks in advance,

Sincerely,

Liqing Zhang
Dept. of Eco. Evol. Biol.
Univ. of CA, Irvine
email: lzhang at uci.edu

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