cltrain {locfit} | R Documentation |

## Training dataset for classification

### Description

200 observations from a 2 population model. Under population 0,
`x_{1,i}`

has a standard normal distribution, and
`x_{2,i} = (2-x_{1,i}^2+z_i)/3`

, where `z_i`

is also standard normal.
Under population 1, `x_{2,i} = -(2-x_{1,i}^2+z_i)/3`

.
The optimal classification regions form a checkerboard pattern,
with horizontal boundary at `x_2=0`

, vertical boundaries at
`x_1 = \pm \sqrt{2}`

.

This is the same model as the cltest dataset.

### Usage

`data(cltrain)`

### Format

Data Frame. Three variables x1, x2 and y. The latter indicates class membership.

[Package

*locfit*version 1.5-9.10 Index]