Ozone {mlbench} | R Documentation

## Los Angeles ozone pollution data, 1976

### Description

A data frame with 366 observations on 13 variables, each observation is one day

### Usage

    data(Ozone)

### Format

1 | Month: 1 = January, ..., 12 = December
2 | Day of month
3 | Day of week: 1 = Monday, ..., 7 = Sunday
4 | Daily maximum one-hour-average ozone reading
5 | 500 millibar pressure height (m) measured at Vandenberg AFB
6 | Wind speed (mph) at Los Angeles International Airport (LAX)
7 | Humidity (%) at LAX
8 | Temperature (degrees F) measured at Sandburg, CA
9 | Temperature (degrees F) measured at El Monte, CA
10 | Inversion base height (feet) at LAX
11 | Pressure gradient (mm Hg) from LAX to Daggett, CA
12 | Inversion base temperature (degrees F) at LAX
13 | Visibility (miles) measured at LAX

### Details

The problem is to predict the daily maximum one-hour-average ozone reading (V4).

### Source

Leo Breiman, Department of Statistics, UC Berkeley. Data used in Leo Breiman and Jerome H. Friedman (1985), Estimating optimal transformations for multiple regression and correlation, JASA, 80, pp. 580-598.

[Package Contents]