> # using this test data
> set.seed(1)
> x <- 1:20/20
> y <- exp(2 + 3 * x) + rnorm(20)
>
> # if its ok to fit logs so that its linear
> exp(fitted(lm(log(y) ~ x)))
1 2 3 4 5 6 7 8
8.55615 9.94692 11.56376 13.44340 15.62857 18.
Hi,
I would like to fit some experimental points by a exponential function.
I ignore the parameters of this exponential and what I would like is to
ask R to calculate the best fitting curve an the associated parameters (as
the linear model function (lm) does for linear models).
Is it possible
