Present article discusses the problem of simultaneous prediction of actual and average values
of study variable in an ultrastructural measurement error model. Some prior information
is also available on regression coefficients of the model in terms of exact linear
restrictions. Some predictors are obtained and their properties are analyzed. The effect of
departure from normality of the distributions of measurement errors is also studied.