This example is taken from Myers et al. (2002). It involves a designed
experiment in a semiconductor plant. Six factors are employed, and it
is of interest to study the curvature or camber of the substrate devices
produced in the plant. There is a lamination process, and the camber
measurement is made four times on each device produced. The goal is
to model the camber taken in 10E-04 in. as a function of the design
variables. Each design variable is taken at two levels and the design is
a 2^(6-2) fractional factorial. The camber measurement is known to be
nonnormal.
Usage
data("semicon")
Format
A data frame with 64 observations on the following 8 variables.
Device
Devise number
x1
a x1 variable with two values -1 and 1
x2
a x2 variable with two values -1 and 1
x3
a x3 variable with two values -1 and 1
x4
a x4 variable with two values -1 and 1
x5
a x5 variable with two values -1 and 1
x6
a x6 variable with two values -1 and 1
y
camber measurement
References
Myers, P.H., Montgomery, D.C., and Vining, G.G. (2002). Generalized
Linear Models with Applications in Engineering and the Sciences.
John Wiley & Sons, New York.