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+library(chemCal)
+data(massart97ex3)
+attach(massart97ex3)
+yx <- split(y,x)
+ybar <- sapply(yx,mean)
+s <- round(sapply(yx,sd),digits=2)
+w <- round(1/(s^2),digits=3)
+weights <- w[factor(x)]
+m <- lm(y ~ x,w=weights)
+# The following concords with the book
+inverse.predict(m, 15, ws = 1.67)
+inverse.predict(m, 90, ws = 0.145)

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