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> library(chemCal)
> data(din32645)
> m <- lm(y ~ x, data=din32645)
> inverse.predict(m,3500,alpha=0.01)
$Prediction
[1] 0.1054792

$`Standard Error`
[1] 0.02215619

$Confidence
[1] 0.07434261

$`Confidence Limits`
[1] 0.03113656 0.17982178

> lod <- lod(m, alpha = 0.01, beta = 0.5)
> lod(m, alpha = 0.01, beta = 0.01) 
$x
[1] 0.132904

$y
[1] 3764.977

> loq <- loq(m, alpha = 0.01)
> 

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