To understand the relationship between the abrasion index for the tire tread, the output y, as a linear function of the hydrated silica level x1, silane coupling agent level x2 and the sulfur level x3, Derringer and Suich (1980) collected data on 14 observation points.
Usage
data("abrasion_index")
Format
A data frame with 14 observations on the following 4 variables.
x1
hydrated silica level
x2
silane coupling agent level
x3
sulfur level
y
abrasion index for the tire tread
References
Derringer, G., and Suich, R. (1980). Simultaneous Optimization of Several Response
Variables. Journal of Quality Technology, 12, 214-219.
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> library(ACSWR)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ACSWR/abrasion_index.Rd_%03d_medium.png", width=480, height=480)
> ### Name: abrasion_index
> ### Title: Abrasion Index for the Tire Tread
> ### Aliases: abrasion_index
> ### Keywords: datasets
>
> ### ** Examples
>
> data(abrasion_index)
> ailm <- lm(y~x1+x2+x3,data=abrasion_index)
> pairs(abrasion_index)
>
>
>
>
>
> dev.off()
null device
1
>