I have two small data sets. For each data set, I performed a Deming regression. Hence, I have, for each data set, the relationship between X and Y in the form of slope+intercept coefficients.

Now, I want to know if the relationship between X and Y is the same for the two data sets. Meaning I want to compare the regressions and test whether the slope+intercept coefficients are the same. In R, there's the strucchange package allowing to run Chow Tests.

However, I understood when reading the strucchange pdf that the Chow Tests works for OLS rather than TLS, implying it does not work for Deming regressions.

Long story short: is there any function that performs the comparison of Deming regressions?

# package loading and data definition


# plot
plot(c(1,1),c(1,1),type="n", xlab="X value", ylab="Y value",  cex=1, xlim=c(0,300), ylim=c(0,300))
points(X1, Y1, pch=21, bg="blue", col="black", cex=1.5)
points(X2, Y2, pch=21, bg="red", col="black", cex=1.5)

# Deming regressions
for (i in 1:2) {

  dem_reg <- Deming(X,Y,vr=var(Y)/var(X))
  abline(a=deming_intercept,b=deming_slope,lty="longdash", col=color, lwd=2)

Deming regression for both data sets


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  • 1
    $\begingroup$ There's the boot=TRUE option to Deming which computes fitted parameter uncertainties via bootstrap sampling. For your data the estimates of slope and intercept are within the other models 2.5% - 97.5% interval so probably can't conclude any difference... $\endgroup$ – Spacedman Dec 14 '16 at 13:11
  • $\begingroup$ @Spacedman: I was hesitating to do so. However, I'm not sure my question is that complicated. We'll see quickly I guess. $\endgroup$ – user137473 Dec 14 '16 at 13:14
  • $\begingroup$ @Spacedman: regarding your second comment, I agree it is a reasonable method (and thanks, btw, for your time). Any official test to go with? $\endgroup$ – user137473 Dec 14 '16 at 13:23
  • $\begingroup$ stats.stackexchange.com/questions/46295/… $\endgroup$ – kjetil b halvorsen Dec 16 '16 at 12:28
  • $\begingroup$ clinchem.aaccjnls.org/content/clinchem/44/5/1024.full.pdf $\endgroup$ – kjetil b halvorsen Dec 16 '16 at 12:29

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