Dear all

Nowadays, spectroscopy is widely employed for qualitative and quantitative
analysis in many fields.When analysing some mixtures in waste water,
chemists always use some methods like MLR PLS PCR and so on.These motheds
can handle the linear relationship between spectral data and chemial
components.
And that's the problem,the full spectral regions may include wavelengths or
wavelength bands which contribute more collinearity,redundancies and noise
than relevant information to models.
Now I wants to find some variable selection methods to help me find some
effective wavelength from the all spectral data.It is just like to select
the some useful variables from a great deal variables related to some known
vectors.

Anyone can help me solve this problem? Sorry, I work as a chimical
engineer,but not a programmer.
Thanks!

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