The error made by applying ordinary least squares (OLS) in method-comp
arison studies is demonstrated with computer simulations. Several norm
ally and rectangularly distributed data sets were randomly generated c
onsidering different measurement ranges and measurement errors. The re
sults from OLS were compared with a regression procedure that takes in
to account the error in both variables.