This data set is for discrete choice models and consists of the choice of commuting route to school: arterial, two-lane, or freeway. There were 151 Pennsylvania commuters who started from a residential complex in State College, PA, and commute to downtown State College.

`data(demonchoice)`

This data frame contains 151 rows of individual choices and 9 columns. The following data dictionary describes each variable or column.

`Choice`

This is the route choice: four-lane arterial (35 MPH speed limit), two-lane highway (35 MPH speed limit, with one lane in each direction), or a limited-access four-lane freeway (55 MPH speed liimit.)

`HH.Income`

This is an ordinal variable of annual household income of the commuter in USD. There are four categories: 1 is less than 20,000 USD, 2 is 20,000-29,999 USD, 3 is 30,000-39,999 USD, and 4 is 40,000 USD or greater.

`Vehicle.Age`

This is the age in years of the vehicle of the commuter.

`Stop.Signs.Arterial`

This is the number of stop signs along the arterial route.

`Stop.Signs.Two.Lane`

This is the number of stop signs along the two-lane route.

`Stop.Signs.Freeway`

This is the number of stop signs along the freeway route.

`Distance.Arterial`

This is distance in miles of the arterial route.

`Distance.Two.Lane`

This is the distance in miles of the two-lane route.

`Distance.Freeway`

This is the distance in miles of the freeway route.