A covariance matrix structure that generalizes the single scale covariance matrix usually used in multinomial responses with extraneous variation is presented. The proposed covariance matrix allows for various levels of extraneous variation, and might be useful in modeling either extra variation or under dispersion. An explicit representation of the proposed covariance matrix, as well as a meaningful interpretation in terms of regression ideas, are provided. An example is presented for illustration