Were you doing blind deconvolution or the spectrum basis are assummed to be
known?

As for blind deconvolution, alternatively you might consider alternating
least square, non-negative matrix factorization, or independent component
analysis + alternating least square as the post-processing.

yfl

On 7/11/06, Xu, Xiuli (NIH/NHLBI) [E] <xux3@nhlbi.nih.gov> wrote:
>
> 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.
>
> Thanks.
>
> Xiuli
>
> ______________________________________________
> R-help@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide!
> http://www.R-project.org/posting-guide.html
>

	[[alternative HTML version deleted]]

