The answer pretty much depends on the kind of model you want to fit. For
standard model would imagine that you do not need any R packages for this.
Have a look at:
?lm #for linear models
?nls #for non linear stuff
If you would have googled:
"R fit model tutorial"
prior to posting you would h
>
> Thanks Petr for your response.
>
> The function I wnat to fit is
>
> y = (k1 * v2_Kd *p1^v2_h) / ( (v2_Kd^v2_h) + p1^v2_h ) ) * ( 1/(1 + (p6/
> v5_Kd)^v5_h) )
> where p1 and p2 are the independent variables.
>
> v2_K2, v2_h, v5_Kd and v5_h are the parameters I have to estimate.
In tha
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