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  "Title": "Competitive Adaptive Reweighted Sampling (CARS) Algorithm",
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  "Description": "Implements Competitive Adaptive Reweighted Sampling (CARS)\nalgorithm for variable selection from high-dimensional dataset\nusing Partial Least Squares (PLS) regression models. CARS\nalgorithm iteratively applies the Monte Carlo sub-sampling and\nexponential variable elimination techniques to identify/select\nthe most informative variables/features subjected to minimal\ncross-validated RMSE score. The implementation of CARS\nalgorithm is inspired from the work of Li et al. (2009)\n<doi:10.1016/j.aca.2009.06.046>. This algorithm is widely\napplied in near-infrared (NIR), mid-infrared (MIR),\nhyperspectral chemometrics areas, etc.",
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