| 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", package = "mlbench")
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
Data used in
Breiman L, Friedman JH (1985). “Estimating Optimal Transformations for Multiple Regression and Correlation.” Journal of the American Statistical Association, 80(391), 580–598. doi:10.1080/01621459.1985.10478157. https://doi.org/10.1080/01621459.1985.10478157, https://doi.org/10.1080/01621459.1985.10478157.
Examples
data("Ozone", package = "mlbench")
summary(Ozone)
[Package mlbench version 2.1-7 Index]