File: house-price-data.csv (comma delimited)
      house-price-data.txt (space delimited)
Observations: 546
Variables: 12

*****

These data were taken from the paper:

  Paul Anglin and Ramazan Gencay, "Semiparametric Estimation of a Hedonic
  Price Function", Journal of Applied Econometrics, Vol. 11, No. 6, 1996, 
  pp. 633-648.

Each observation corresponds to one house that was sold in Windsor,
Ontario, Canada during the months of July, August, and September of
1987.

Variable definitions (ordered by column):

value = sale price
ls    = the lot size of a property in square feet
bdms  = the number of bedrooms
baths = the number of full bathrooms
sty   = the number of stories excluding basement
drv   = 1 if the house has a driveway
rec   = 1 if the house has a recreational room
ffin  = 1 if the house has a full finished basement
ghw   = 1 if the house uses gas for hot water heating
ca    = 1 if there is central air conditioning
gar   = the number of garage places
reg   = 1 if the house is located in the preferred neighbourhood of the city

*****

R: Read the data using commands like:

  housedata <- read.table("house-price-data.txt",header=TRUE)
  attach(housedata)
    
*****

Stata: Read the data using the command:

  import delim house-price-data.csv;
  
This assumes that Stata is running in the directory where the data
reside. Replace "house-price-data.csv" with something like
"~/datafiles/house-price-data.csv" (for Unix) or
"C:\datafiles\house-price-data.csv" (for Windows) if not. 

The import command does not appear to work for versions of Stata prior
to Version 12. In that case, remove the first line of the file and use
a command like:

  infile value ls bdms baths sty drv rec ffin ghw ca gar reg using
  house-price-data.txt;

*****

Gretl: From the menus, read the data using "File", "Open Data",
"Import", "text CSV", "space" or "auto detect", choose directory,
"ASCII files", choose house-price-data.txt.

In a Gretl command-line script, use a command like

  open ~/datafiles/house-price-data.txt

(for Unix), or

  open C:\datafiles\house-price-data.txt

(for Windows), where "datafiles" is the name of the directory, under
your home directory, in which house-price-data.txt may be found.