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  "Title": "Cross-Validation Methods for Adsorption Isotherm Models",
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  "Author": "Paul Angelo C. Manlapaz [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-1203-2064>)",
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  "Description": "Provides cross-validation tools for adsorption isotherm\nmodels, supporting both linear and non-linear forms. Current\nmethods cover commonly used isotherms including the Freundlich,\nLangmuir, and Temkin models. This package implements K-fold and\nleave-one-out cross-validation (LOOCV) with optional\nclustering-based fold assignment to preserve underlying data\nstructures during validation. Model predictive performance is\nassessed using mean squared error (MSE), with optional\ngraphical visualization of fold-wise MSEs to support intuitive\nevaluation of model accuracy. This package is intended to\nfacilitate rigorous model validation in adsorption studies and\naid researchers in selecting robust isotherm models. For more\ndetails, see Montgomery et al. (2012) <isbn:\n978-0-470-54281-1>, Lumumba et al. (2024)\n<doi:10.11648/j.ajtas.20241305.13>, and Yates et al. (2022)\n<doi:10.1002/ecm.1557>.",
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