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| asOneSidedFormula | Convert to One-Sided Formula |
| BOD | Biochemical Oxygen Demand |
| clearNames | remove the names from an object |
| coef.nls | Nonlinear least squares |
| fitted.nls | Nonlinear least squares |
| formula.nls | Extract Model Formula from nls Object |
| getInitial | Get Initial Parameter Estimates |
| getInitial.default | Get Initial Parameter Estimates |
| getInitial.formula | Get Initial Parameter Estimates |
| getInitial.selfStart | Get Initial Parameter Estimates |
| logLik | Extract Log-Likelihood |
| logLik.nls | Nonlinear least squares |
| nls | Nonlinear least squares |
| nls.control | Control the iterations in nls |
| nlsModel | Create an nlsModel object |
| nlsModel.plinear | Create an nlsModel object |
| NLSstAsymptotic | Fit the asymptotic regression model |
| NLSstAsymptotic.sortedXyData | Fit the asymptotic regression model |
| NLSstClosestX | Inverse Interpolation |
| NLSstClosestX.sortedXyData | Inverse Interpolation |
| NLSstLfAsymptote | Horizontal Asymptote on the Left Side |
| NLSstLfAsymptote.sortedXyData | Horizontal Asymptote on the Left Side |
| NLSstRtAsymptote | Horizontal Asymptote on the Right Side |
| NLSstRtAsymptote.sortedXyData | Horizontal Asymptote on the Right Side |
| plot.profile.nls | Plot a profile.nls object |
| predict.nls | Predicting from Nonlinear Least Squares Fits |
| print.nls | Nonlinear least squares |
| print.summary.nls | Nonlinear least squares |
| profile.nls | Method for profiling nls objects |
| profiler | Constructor for profiler objects for non-linear models |
| profiler.nls | Constructor for profiler objects from nls objects |
| residuals.nls | Nonlinear least squares |
| selfStart | Construct Self-starting Nonlinear Models |
| selfStart.default | Construct Self-starting Nonlinear Models |
| selfStart.formula | Construct Self-starting Nonlinear Models |
| setNames | set the names in an object |
| sortedXyData | Create a sortedXyData object |
| sortedXyData.default | Create a sortedXyData object |
| SSasymp | Asymptotic Regression Model |
| SSasympOff | Asymptotic Regression Model with an Offset |
| SSasympOrig | Asymptotic Regression Model through the Origin |
| SSbiexp | Biexponential model |
| SSfol | First-order Compartment Model |
| SSfpl | Four-parameter Logistic Model |
| SSlogis | Logistic model |
| SSmicmen | Michaelis-Menten model |
| summary.nls | Nonlinear least squares |
| weights.nls | Nonlinear least squares |