# Orange

##### Growth of Orange Trees

The `Orange`

data frame has 35 rows and 3 columns of records of
the growth of orange trees.

- Keywords
- datasets

##### Usage

`Orange`

##### Details

This dataset was originally part of package `nlme`

, and that has
methods (including for `[`

, `as.data.frame`

, `plot`

and
`print`

) for its grouped-data classes.

##### Format

An object of class
`c("nfnGroupedData", "nfGroupedData", "groupedData", "data.frame")`

containing the following columns:

- Tree
- an ordered factor indicating the tree on which the measurement is made. The ordering is according to increasing maximum diameter.
- age
- a numeric vector giving the age of the tree (days since 1968/12/31)
- circumference
- a numeric vector of trunk circumferences (mm). This is probably “circumference at breast height”, a standard measurement in forestry.

##### Source

Draper, N. R. and Smith, H. (1998), *Applied Regression Analysis
(3rd ed)*, Wiley (exercise 24.N). Pinheiro, J. C. and Bates, D. M. (2000) *Mixed-effects Models
in S and S-PLUS*, Springer.

##### Examples

`library(datasets)`

```
require(stats); require(graphics)
coplot(circumference ~ age | Tree, data = Orange, show.given = FALSE)
fm1 <- nls(circumference ~ SSlogis(age, Asym, xmid, scal),
data = Orange, subset = Tree == 3)
plot(circumference ~ age, data = Orange, subset = Tree == 3,
xlab = "Tree age (days since 1968/12/31)",
ylab = "Tree circumference (mm)", las = 1,
main = "Orange tree data and fitted model (Tree 3 only)")
age <- seq(0, 1600, length.out = 101)
lines(age, predict(fm1, list(age = age)))
```

*Documentation reproduced from package datasets, version 3.0.3, License: Part of R 3.0.3*

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