A Progressive Combined Variable Selection Method for Near-Infrared Spectral Analysis Based on Three-Step Hybrid Strategy

Figure 4

Results of optimal selection of variable by bootstrapping soft shrinkage used for the oil content prediction in corn: (a) the root mean square error of cross-validation varying with the number of sampling and (b) variable weights for sampling with the lowest root mean square error of cross-validation.

(a)

(b)