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  "Title": "Nonlinear Least Squares Estimation for Emax Regression Models",
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  "Description": "Provides estimation and covariate selection tools for Emax\nregression models using nonlinear least squares methods.\nSupported optimization algorithms are Gauss-Newton,\nLevenberg-Marquardt, and the port library for bounded\noptimization. The package also provides tools to assist in\nsimulation work using Emax regression.",
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