# plot.onls: Plotting function for 'onls' objects In onls: Orthogonal Nonlinear Least-Squares Regression

 plot.onls R Documentation

## Plotting function for 'onls' objects

### Description

Plots an orthogonal nonlinear model obtained from `onls`.

### Usage

```## S3 method for class 'onls'
plot(x, fitted.nls = TRUE, fitted.onls = TRUE,
segments = TRUE,...)
```

### Arguments

 `x` an object returned from `onls`. `fitted.nls` logical. If `TRUE`, the fit from the normal (vertical) nonlinear model is plotted as a blue line for comparison purposes. `fitted.onls` logical. If `TRUE`, the fit from the orthogonal nonlinear model is plotted as a red line. `segments` logical. If `TRUE`, segments connecting (x_i, y_i) and (x_{0i}, y_{0i}) are displayed. `...` other parameters to `plot`.

### Value

A plot of the `onls` model.

### Author(s)

Andrej-Nikolai Spiess

### Examples

```## Quadratic model with 10% added noise.
## Omitting the "nls" curve,
## display orthogonal segments.
set.seed(123)
x <- 1:20
y <- 10 + 3*x^2
y <- y + rnorm(20, 0, 50)
DAT <- data.frame(x, y)
mod <- onls(y ~ a + b * x^2, data = DAT, start = list(a = 10, b = 3), extend = c(0.2, 0))
plot(mod, fitted.nls = FALSE)

## Due to different scaling,
## orthogonality of fit is not evident.
## We need to have equal x/y-scaling for that,
## using asp = 1!
plot(mod, fitted.nls = FALSE, xlim = c(0, 10),
ylim = c(0, 200), asp = 1)
```

onls documentation built on Oct. 31, 2022, 5:06 p.m.