The CCS data set has 1600 observations and 20 variables, and is from the data is from the Britsh Columbia and Yukon region of a nationwide Canadian charitable society. The data examine whether a donor joined the Monthly Giver Program, in which he or she opts to make a pre-arranged monthly donation to the charity by credit card. The actual monthly givers have been highly over-sampled. In the charity's database they represent one percent of donors, but they comprise 50 percent of this sample. This level of oversampling is common in data mining applications.
Athletic
(Package: BCA) :
Intercollegiate Athletic Program Data Set
The Athletic data set has 168 observations and 7 variables. The data come from a survey of stakeholders different (students, alumni, faculty, and athletic department employees) of a large US state university. The variables in the data set are conjoint analysis based relative importance weights for seven potential indicators of intercollegiate athletic program success.
jack.jill
(Package: BCA) :
Spending on Children's Apparel
The jack.jill data set has 557 observations and 8 variables. The data contains information on children's apparel spending and household level demographic and socioeconomic information for a sample of households residing in Alberta and British Columbia.
The Eggs data set has 105 observations and 10 variables. The data contains information on weekly sales of eggs in Southern California over a two year period.
providing 
.