Dear list,

After reading several forum messages dealing with back transformation of
model predicted values based on log transformed data,
I do not converge to one clear solution.
So if one of you could help me, it would be greatly appreciated.

Using lme, I made a mixed model of the form:
log(y) ~ X1 + X2 + ... + Xn + random effects

and now I want to back transform the predicted values and the error measures
(SE, SD or CI) to the original scale.
How to do that ?

Thanks,

Arnaud

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