Getting accurate predictions from large and diverse spectral libraries

 

This is a webinar (organized by Soil.Spectroscopy.Org) I have joined some time ago, and now that I am working with LUCAS database I saw again. 

In my case I have taken apart the Spanish soils from the LUCAS database and I am working with them, finding very interesting conclusions I will share with you all along next year 2022.

Leonardo Ramirez Lopez is a well-known R Chemometric package developer and present a nice simulation about how to work with the Lucas database (where a lot of samples from all the Europe Union Community have been analysed using a unique NIR instrument and a unique laboratory) adding noise to the predictors (spectra) and to the responses (reference values) that is normally the case we will find in most of the situations.