[R] least square fit with non-negativity constraints for absorption spectra fitting

[Dieter Menne]

Xu, Xiuli (NIH/NHLBI) [E] <xux3 <at> nhlbi.nih.gov> writes:

> 
> I would really appreciate it if someone can give suggestions on how to
> do spectra fitting in R using ordinary least square fitting and
> non-negativity constraints. The lm() function works well for ordinary
> least square fitting, but how to specify non-negativity constraints? It
> wouldn't make sense if the fitting coefficients coming out as negative
> in absorption spectra deconvolution.

I don't see much reasons to use lm() to fit a spectrum, but if you want to do
that,  negative coefficients simply mean a shift by pi, sothe sign can be
discarded for most practical purposed. 

But better look at one of the specialized packages like spectrino.

Dieter