Consensual Regression of Lasso-Sparse PLS models for Near-Infrared Spectra of Food

In some cases, near-infrared spectra (NIRS) make the prediction of quantitative models unreliable, and the choice of a suitable number of latent variables (LVs) for partial least square (PLS) is difficult. In this case, a strategy of fusing member models with important information is gradually becom...

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Bibliographic Details
Main Authors: Lei-Ming Yuan, Xiaofeng Yang, Xueping Fu, Jiao Yang, Xi Chen, Guangzao Huang, Xiaojing Chen, Limin Li, Wen Shi
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/12/11/1804