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Data > require(DoE.wrapper) > Data Data.lm <- lm(y~.^4, data=Data)

/in /by

 Data

> require(DoE.wrapper)

> Data <- data.frame(

+ qua.design(

+ fac.design(nlevels = 2, nfactors = 4, randomize = FALSE, factor.names = list(A=c(-1,1), B=c(-1,1), C=c(-1,1), D=c(-1,1))), quantitative=”all”), y = c(1.68,1.98,3.28,3.44,4.98,5.70,9.97,9.07,2.07,2.44,4.09,4.53,7.77,9.43,11.75,16.30))

creating full factorial with  16  runs …

> Data.lm <- lm(y~.^4, data=Data)

 
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