| BULLDOZER | R Documentation |
Predicting the sales price of a bulldozer at auction
data("BULLDOZER")
A data frame with 924 observations on the following 6 variables.
SalePricea numeric vector
YearsAgoa numeric vector, the number of years ago (before present) that the sale occurred
YearMadea numeric vector, year of manufacture of machine
Usagea numeric vector, hours of usage at time of sale
Bladea numeric vector, width of the bulldozer blade (feet)
Tirea numeric vector, size of primary tires
The goal is to predict the sale price of a particular piece of heavy equiment at auction based on its usage, equipment type, and configuration. The data represents a heavily modified version of competition data found on kaggle.com. See original source for actual dataset
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