  An invertible matrix is called a Perron similarity if one of its columns and
the corresponding row of its inverse are both nonnegative or both nonpositive.
Such matrices are of relevance and import in the study of the nonnegative
inverse eigenvalue problem. In this work, Kronecker products of Perron
similarities are examined and used to to construct ideal Perron similarities
all of whose rows are extremal.
