Scott-Knott ranker description

[llayman]

The description of the Scott-Knott ranker is not terribly clear. You write "Scott-Knott seeks the division of of l treatments into subsets of size m, n of sizes ls,ms, ns and median values l.μ,m.μ, n.μ (respectively) in order to maximize ms/ls abs(m.μ − l.μ)^2 + ns/ls abs(n.μ − l.μ)^2" but it's not clear to me what "subsets of size m, n of sizes ls,ms, ns and median values l.μ,m.μ, n.μ (respectively)" means. Are these 5 subsets? How are they related?