NLSstAsymptotic {stats} | R Documentation |

Fits the asymptotic regression model, in the form ```
b0 +
b1*(1-exp(-exp(lrc) * x))
```

to the `xy`

data.
This can be used as a building block in determining starting estimates
for more complicated models.

```
NLSstAsymptotic(xy)
```

`xy` |
a |

A numeric value of length 3 with components labelled `b0`

,
`b1`

, and `lrc`

. `b0`

is the estimated intercept on
the `y`

-axis, `b1`

is the estimated difference between the
asymptote and the `y`

-intercept, and `lrc`

is the estimated
logarithm of the rate constant.

JosÃ© Pinheiro and Douglas Bates

```
Lob.329 <- Loblolly[ Loblolly$Seed == "329", ]
print(NLSstAsymptotic(sortedXyData(expression(age),
expression(height),
Lob.329)), digits = 3)
```

[Package *stats* version 4.3.0 Index]