On Jan 19, 2010, at 12:05 PM, werner w wrote:
Thanks Gabor and Henrique!
Sorry for the imprecise question. I want predict() to use the
coefficients
estimated by the original regression but to exclude terms from the
prediction formula. If I originally estimated y ~ x1 + x2 and got
coefficients b0, b1, b2, I would like to remove x2 and predict y =
b0 +
b1*x1 using the the originally estimated coefficients b0 and b1.
So just set x2 = 0 in your newdata argument.
@Gabor: I tried your suggestion but it seems although predict now
accepts a
list with fewer variables, the new function is not used so that the
coefficient does not change.
mod <- lm(y1 ~ x1 + x2 + x3 + x4, anscombe)
predict(eval(mod$call), list(x1=1,x2=1,x3=1, x4=1))
1
4.684909
Warning message:
In predict.lm(eval(mod$call), list(x1 = 1, x2 = 1, x3 = 1, x4 = 1)) :
prediction from a rank-deficient fit may be misleading
mod$call$formula <- update(as.formula(mod$call$formula), ~ . - x1 -
x2)
predict(eval(mod$call), list(x3=1, x4=1))
1
4.684909
Many thanks,
Werner
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