A two-step framework integrating lasso and Relaxed Lasso for resolving multidimensional collinearity in Chinese baijiu aging research

Dongyue An; Liangyan Wang; Jiang He; Yuejin Hua

doi:10.1016/j.heliyon.2024.e36871

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A two-step framework integrating lasso and Relaxed Lasso for resolving multidimensional collinearity in Chinese baijiu aging research

Dongyue An Liangyan Wang Jiang He Yuejin Hua

Year: 2024 Journal: Heliyon Vol: 10 (17)Pages: e36871-e36871 Publisher: Elsevier BV

DOI: 10.1016/j.heliyon.2024.e36871

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Keywords:

Collinearity Lasso (programming language) Elastic net regularization Mathematics Computer science Artificial intelligence Statistics Feature selection

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Social Sciences → Decision Sciences → Management Science and Operations Research

Metabolomics and Mass Spectrometry Studies

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A two-step framework integrating lasso and Relaxed Lasso for resolving multidimensional collinearity in Chinese baijiu aging research

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