Dataset:  const_maint.dat

Source: D.J. Edwards, G.D. Holt, F.C. Harris (2000). "A Comparative
Analysis Between the Multilayer Perceptron "Neural Network" and Multiple
Regression Analysis for Predicting Construction Plant Maintenance Costs,"
Journal of Quality in Maintenance Engineering, Vol. 6, #1, pp. 45-61

Description: Regression Analysis relating construction plant maintenance costs
to: machine weight, and indicators attitude to used oil analysis,
type of industry, and type of machine.

Variables/Columns
Machine ID   7-8
Cost (pounds)  10-16
Type of Industry    24    /* 1=opencast coal   0=opencast slate */
Type of machine   32     /* 1=front shovel   0=backacter  */
Company attitude to used oil analysis   40  /* 1=regular us   0=not  */
Machine weight  (tonnes)  42-48