# NLSstAsymptotic

##### Fit the Asymptotic Regression Model

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.

- Keywords
- manip

##### Usage

`NLSstAsymptotic(xy)`

##### Arguments

- xy
a

`sortedXyData`

object

##### Value

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.

##### See Also

##### Examples

`library(stats)`

```
# NOT RUN {
Lob.329 <- Loblolly[ Loblolly$Seed == "329", ]
print(NLSstAsymptotic(sortedXyData(expression(age),
expression(height),
Lob.329)), digits = 3)
# }
```

*Documentation reproduced from package stats, version 3.6.0, License: Part of R 3.6.0*

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