preconditionFit | R Documentation |

Linearly re-parameterize the model to be less sensitive to rounding errors

```
preconditionFit(fit, estType = c("full", "posthoc", "none"), ntry = 10L)
```

`fit` |
A nlmixr2 fit to be preconditioned |

`estType` |
Once the fit has been linearly reparameterized, should a "full" estimation, "posthoc" estimation or simply a estimation of the covariance matrix "none" before the fit is updated |

`ntry` |
number of tries before giving up on a pre-conditioned covariance estimate |

A nlmixr2 fit object that was preconditioned to stabilize the variance/covariance calculation

Aoki Y, Nordgren R, Hooker AC. Preconditioning of Nonlinear Mixed Effects Models for Stabilisation of Variance-Covariance Matrix Computations. AAPS J. 2016;18(2):505-518. doi:10.1208/s12248-016-9866-5

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