Under the assumptions of a linear model with independent residuals, the elements of an orthonormal basis of the corresponding error space can be used to construct normality tests, variance homogeneity tests, and variance estimators. In comparison with other available methods, this theoretically simple approach is more generally applicable, and also yields specific improvements in some particular cases. Some constructions and applications of orthonormal bases of error spaces are presented and discussed.