A leave-one-out sweep: the base solve over all rows, one drops solve per
masked residual row (in row order), and cost_delta giving how much the
optimum cost moves when each row is removed.
Summary
Types
@type t() :: %Sidereon.LeastSquares.DropOneReport{ base: Sidereon.LeastSquares.Result.t(), cost_delta: [float()], drops: [Sidereon.LeastSquares.Result.t()] }