Dataset: airpermeabilitywoven.csv

Source: A. Cay, S. Vassiliadis, M. Rangoussi, I. Tarakcioglu (2006).
"Prediction of the Air Permeability of Woven Fabrics Using Neural
Networks," International Journal of Clothing Science and Technology, 
Vol. 19, #1, pp. 18-35.

Description: Structural factors relating to air permeability for 30
fabric types. Data are mean and SD of 5 replicates per fabric.

Model 1: E{AP} = B0 + B1*Warp + B2*Weft + B3*Mass
Model 2: E{AP} = C0 + C1*Water + c2*(Water^2)

Variable Names:
sampNum
warp      (warp yarn density, ends/cm)
weft      (weft  "     "    , picks/cm)
mass      (mass per unit area, gr/m^2)
airPermMn  (average air permeability, cm^2/s/cm^2)
airPermAD  (Std Dev of air perm measurements)
waterCont  (Water Content after vacuum drying, %)