# welding

0th

Percentile

##### Data: Tensile Strength of Welds

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.

Keywords
datasets
##### Usage
data(welding)
##### format

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

##### source

http://www.statsci.org/data/general/welding.html

##### 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.

##### Aliases
• welding
Documentation reproduced from package statmod, version 1.2.3, License: LGPL version 2 or newer

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