The row-column setting for comparing upsilon experimental treatments i
s a p x q array of experimental units, with the p rows and q columns r
epresenting levels of two blocking factors. When p = q = upsilon, the
optimal design for estimating treatment contrasts is a Latin square. F
or a vt factorial treatment set in the same setting, t mutually orthog
onal Latin squares are an optimal main-effects plan. Orthogonal collec
tions of Latin squares arise when these results are generalized to b r
ow-column layouts of size upsilon x upsilon, where b is greater than 1
. This article studies these orthogonal collections, with special emph
asis on small upsilon and b.