vehicle {dprep} | R Documentation

## The Vehicle dataset

### Description

This is the vehicle dataset from the UCI Machine Learning Repository

### Usage

    data(vehicle)

### Format

A data frame with 846 observations on the following 19 variables.

V1
  Compactness
V2
  Circularity
V3
  Distance Circularity
V4
  Radius ratio
V5
  pr.axis aspect ratio
V6
  max.length aspect ratio
V7
  scatter ratio
V8
  elongatedness
V9
  pr.axis rectangularity
V10
  max.length rectangularity
V11
  scaled variance along major axis
V12
  scaled variance along minor axis
V13
  scaled radius of gyration
V14
  skewness about major axis
V15
  skewness about minor axis
V16
  kurtosis about minor axis
V17
  kurtosis about major axis
V18
  hollows ratio
V19
  Type of vehicle: a double decker bus, Cheverolet van, Saab 9000 and an Opel Manta 400.

### Source

The UCI Machine Learning Database Repository at:

- ftp://ftp.ics.uci.edu/pub/machine-learning-databases
- http://www.ics.uci.edu/~mlearn/MLRepository.html

### Examples

    #----feature selection using sequential floating selection with LDA----
    data(vehicle)
    mahaout(vehicle,nclass=3)

[Package dprep version 1.0 Index]