welding

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.

datasets

Various statistical modeling functions including growth curve comparisons, limiting dilution analysis, mixed linear models, heteroscedastic regression, Tweedie family generalized linear models, the inverse-Gaussian distribution and Gauss quadrature.

Gordon Smyth

statmod

Statistical Modeling

welding function

A data frame containing the following variables.
All the explanatory variables are numeric with two levels, <code>-1</code> and <code>1</code>.
<tabular>lll</tabular>{
	<b>Variable</b> 	<b>Description</b>	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.}

format

<url>http://www.statsci.org/data/general/welding.html</url>

welding: Data: Tensile Strength of Welds

Description

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