Look at the 'self-starting' functions for nls(), such as SSasymp().
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Wed, Mar 4, 2015 at 5:01 AM, Evans Otieno Ochiaga <
evansochi...@aims.ac.za> wrote:
> Hi to all,
>
> Is there a way we can fit a non linear model to a data using non linear
> least
Hi to all,
Is there a way we can fit a non linear model to a data using non linear
least square method without necessarily initialising the parameters of the
model. I find it hard to get the initial value of the parameter. Below is a
sample of the code I have.
*nachman<-nls(OARmedium$OCCUPANC