This is a highly fractionated two-level factorial design employed as a screening design in an off-line welding experiment performed by the National Railway Corporation of Japan. There were 16 runs and 9 experimental factors. The response variable is the observed tensile strength of the weld, one of several quality characteristics measured. All other variables are at plus and minus levels.

data(welding)

Format

A data frame containing the following variables. All the explanatory variables are numeric with two levels, -1 and 1.

VariableDescription
RodsKind of welding rods
DryingPeriod of drying
MaterialWelded material
ThicknessThickness
AngleAngle
OpeningOpening
CurrentCurrent
MethodWelding method
PreheatingPreheating
StrengthTensile strength of the weld in kg/mm. The response variable.

References

Smyth, G. K., Huele, F., and Verbyla, A. P. (2001). Exact and approximate REML for heteroscedastic regression. Statistical Modelling 1, 161-175.

Smyth, G. K. (2002). An efficient algorithm for REML in heteroscedastic regression. Journal of Computational and Graphical Statistics 11, 1-12.