Hi all, Is it possible to model a function where the unknown parameter appears both in the fitted equation AND in the determination of other parameters? E.g.
y = a^2 + b/2 + k where a = 2/k and b = k^2 and the model needs to determine k? I know this is a very simple equation (its just an example), the one I am modelling is much more complicated! k appears in the equation which the n.l.r model fits, but it also affects other parameters in the equation. Please let me know if you know a way of achieving this. I realise it is possible to set up a loop where the modelled value for k is fed back in to a and b, and the model is run again - but it seems like there should be a more elegant way within one run of the model. Thanks, Jeff -- View this message in context: http://r.789695.n4.nabble.com/Non-linear-regression-with-complex-equation-tp4425942p4425942.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
