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 1.1-9

Index]