%0 Generic %A Xiao, Nan %D 2017 %T Spectroscopic datasets used in the paper "Ordered Homogeneity Pursuit Lasso for Group Variable Selection with Applications to Spectroscopic Data" %U https://figshare.com/articles/dataset/Spectroscopic_datasets_used_in_the_paper_Ordered_Homogeneity_Pursuit_Lasso_for_Group_Variable_Selection_with_Applications_to_Spectroscopic_Data_/5480416 %R 10.6084/m9.figshare.5480416.v1 %2 https://ndownloader.figshare.com/files/9478420 %2 https://ndownloader.figshare.com/files/9478423 %2 https://ndownloader.figshare.com/files/9478426 %K Chemometrics Method %K Variable selection methods %K near infrared spectroscopy %K High-Dimensional Machine Learning Statistical models %K LASSO regression models %K PLS regression %K Statistics %X The three real-world near infrared spectra datasets used in the method benchmark section of the paper "Ordered homogeneity pursuit lasso for group variable selection with applications to spectroscopic data" by Lin et al. (2017).

To cite the paper, please use:
You-Wu Lin, Nan Xiao, Li-Li Wang, Chuan-Quan Li, and Qing-Song Xu (2017). Ordered homogeneity pursuit lasso for group variable selection with applications to spectroscopic data. Chemometrics and Intelligent Laboratory Systems 168, 62-71.
%I figshare