## Description

Data are taken from Loomis (2003). The study relates to a survey taken on reported
frequency of visits to national parks during the year. The survey was taken at park
sites, thus incurring possible effects of endogenous stratification.
## Format

A data frame with 410 observations on the following 11 variables.

## Source

from Loomis (2003)## Details

loomis is saved as a data frame.
Count models typically use anvisits as response variable. 0 counts are included
## References

Hilbe, Joseph M (2007, 2011), Negative Binomial Regression, Cambridge University Press
Loomis, J. B. (2003). Travel cost demand model based river recreation benefit
estimates with on-site and household surveys: Comparative results and a
correction procedure, Water Resources Research, 39(4): 1105
## Examples

data(loomis)
glmlmp <- glm(anvisits ~ gender + factor(income) + factor(travel), family=poisson, data=loomis)
summary(glmlmp)
exp(coef(glmlmp))
library(MASS)
glmlmnb <- glm.nb(anvisits ~ gender + factor(income) + factor(travel), data=loomis)
summary(glmlmnb)
exp(coef(glmlmnb))