Introduction - If you have any usage issues, please Google them yourself
The competitive adaptive weight weighting algorithm (CARS) uses adaptive heavy weighted sampling (ARS) to select the wavelength points with large absolute value of the regression coefficient in PLS model, remove the wavelengths with small weight, and use interactive verification to select the lowest subset of RMSECV, which can effectively find the optimal combination of variables.