Body size, or anthropometric, data can be applied to the design of truck cabs in a number of ways. The traditional approach involves specifying single dimensions with a specific percentile (e.g., 95th percentile Seated Eye Height). However, anthropometric dimensions vary independently, so specifying multiple dimensions can result in impossible design targets. We propose the use of multivariate accommodation models that have been successfully used in aircraft cockpit design. This approach allows the simultaneous inclusion of a larger number of dimensions while simplifying design by limiting the number of actual test cases. We use a sample analysis to show how this approach can be usefully applied to truck cab design.