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Fig. 2 | Lipids in Health and Disease

Fig. 2

From: A LASSO-derived model for the prediction of nonattainment of target LDL-C reduction with PCSK9 inhibitors in patients with atherosclerotic cardiovascular disease

Fig. 2

The Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to extract features. A The LASSO regression filtering variable process. B The dashed line on the left revealed that 5 variables were retained at the point with the smallest error, and the dashed line on the right revealed that only one variable was retained within one standard error (1se) of the minimum error

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