fastmail.fm> writes:
> The problem is that fn is not the model to be fitted.
> The model is y = p1*x/(p2
> + x).
Actually, I would say the model is
y_i ~ Normal(p1*x_i/(p2+x_i),sigma^2) ...
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Ben Bolker wrote:
>I have some binaries I would like to distribute with a package
> (I am not the original author; I have the source code but can't distribute
> it because it contains _Numerical Recipes_ code. The long-term
> solution is to replace the code with new code written in R, or
> i
Hello Mohar,
This question is outside of the RPy scope. It looks like the type of
question that should be posed to the R-devel mailing list:
[EMAIL PROTECTED]
-Greg
On Jun 20, 2007, at 8:25PM , Mohar Chattopadhyay wrote:
> Dear all,
>
> I have encountered errors in compiling R-2.5.
Full_Name: Britton Kerin
Version: docs on web
OS: linux
Submission from: (NULL) (216.67.49.115)
This section from the introduction to R confused me (reason below):
11.7.1 Least squares
One way to fit a nonlinear model is by minimizing the sum of the squared
errors
(SSE) or residual
