This is a R package to fit a latent variable regression model.
In cases when both variables x,y are measured with error, linear regression will estimate the slope biased to 0. One general procedure that may do better is orthogonal regression. Another one is used here: Case based latent regression. It is especially powerful when the variables are not normally distributed.
The second example in the documentation for testRegs is a simulation study that shows the merits of this approach to linear regression.
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