| welding | R Documentation |
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)
A data frame containing the following variables.
All the explanatory variables are numeric with two levels, -1 and 1.
| Variable | Description | |
| Rods | Kind of welding rods | |
| Drying | Period of drying | |
| Material | Welded material | |
| Thickness | Thickness | |
| Angle | Angle | |
| Opening | Opening | |
| Current | Current | |
| Method | Welding method | |
| Preheating | Preheating | |
| Strength | Tensile strength of the weld in kg/mm. The response variable. | |
http://www.statsci.org/data/general/welding.html
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.
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