NLSstAsymptotic {stats} | R Documentation |

## Fit the Asymptotic Regression Model

### Description

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.

### Usage

NLSstAsymptotic(xy)

### Arguments

### 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.

### Author(s)

JosÃ© Pinheiro and Douglas Bates

### See Also

`SSasymp`

### Examples

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

[Package

*stats* version 3.6.0

Index]