# SSasympOrig

##### Self-Starting Nls Asymptotic Regression Model through the Origin

This `selfStart`

model evaluates the asymptotic regression
function through the origin and its gradient. It has an
`initial`

attribute that will evaluate initial estimates of the
parameters `Asym`

and `lrc`

for a given set of data.

- Keywords
- models

##### Usage

`SSasympOrig(input, Asym, lrc)`

##### Arguments

- input
- a numeric vector of values at which to evaluate the model.
- Asym
- a numeric parameter representing the horizontal asymptote.
- lrc
- a numeric parameter representing the natural logarithm of the rate constant.

##### Value

a numeric vector of the same length as `input`

. It is the value of
the expression `Asym*(1 - exp(-exp(lrc)*input))`

. If all of
the arguments `Asym`

and `lrc`

are
names of objects, the gradient matrix with respect to these names is
attached as an attribute named `gradient`

.

##### See Also

##### Examples

`library(stats)`

```
```

*Documentation reproduced from package stats, version 3.3.3, License: Part of R 3.3.3*

### Community examples

Looks like there are no examples yet.