Ozone: Ozone data

In tanujitdey/modelSampler: A unique tool for variable selection and model exploration in linear regression model

Description

A data frame with 203 observations on 13 variables, each observation is one day. Original data is modified to delete all the missing values.

Format

“ozone” being the outcome variable, other 12 variables are independent variables:

month	Month: 1 = January, ..., 12 = December
daymonth	Day of month
dayweek	Day of week: 1 = Monday, ..., 7 = Sunday
ozone	Daily maximum one-hour-average ozone reading
press	500 millibar pressure height (m) measured at Vandenberg AFB
wind	Wind speed (mph) at Los Angeles International Airport (LAX)
humid	Humidity (%) at LAX
tempS	Temperature (degrees F) measured at Sandburg, CA
tempE	Temperature (degrees F) measured at El Monte, CA
ibht	Inversion base height (feet) at LAX
pressg	Pressure gradient (mm Hg) from LAX to Daggett, CA
ibtemp	Inversion base temperature (degrees F) at LAX
vis	Visibility (miles) measured at LAX

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, J. Amer. Stat. Assoc., 80, 580 – 598.

Examples

data(Ozone, package = "modelSampler")

tanujitdey/modelSampler documentation built on May 5, 2019, 11:01 p.m.