Moving-Window-Improved Monte Carlo Uninformative Variable Elimination Combining Successive Projections Algorithm for Near-Infrared Spectroscopy (NIRS)

<div>Relationship between the root mean square error (RMSE) of the corn oil concentration predicted by the PLS regression model and the number of selected wavelength variables.</div>

Journal of Spectroscopy

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Figure 7

Figure 7: Moving-Window-Improved Monte Carlo Uninformative Variable Elimination Combining Successive Projections Algorithm for Near-Infrared Spectroscopy (NIRS) 

Figure 7 | Moving-Window-Improved Monte Carlo Uninformative Variable Elimination Combining Successive Projections Algorithm for Near-Infrared Spectroscopy (NIRS) 