Description Usage Arguments Details Value Author(s) See Also Examples

Polinomial regression curves for external standard calibration are calculated to later convert signals into concentration values.

1 |

`curve` |
Data frame of numeric vectors named 'Conc' and 'Signal' containing the concentrations and the signals, respectively. |

`order` |
Regression curve order. 1 for linear (default) and 2 for quadratic. |

`badpoint` |
Numeric vector with the points to be ignored in the regresion. This allows the easy elimination of outliers without losing the stored measurement information. |

`intercept` |
Logical. If |

`plot` |
Logical. If |

A linear method (i.e `lm()`

) is applied to obtain the
regression curve.

Model of the calibration curve.

Cristhian Paredes, craparedesca@unal.edu.co

Eduardo Rodriguez de San Miguel, erdsmg@unam.mx

`calibPlane`

when using more than one explanatory
variable.

1 2 3 4 5 | ```
data(curvelithium)
model1 <- calibCurve(curve = curvelithium, order = 1)
model2 <- calibCurve(curve = curvelithium, order = 2)
summary(model1)
summary(model2)
``` |

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