Latin Square refers to an N x N matrix where each of N different items appears exactly once in each column and exactly once in each row. Latin square is used to identify sequences of treatment conditions for partial counterbalancing . Moreover, Latin Square is a type of counterbalancing that ensures that each level of the independent variable appears in every ordered position equally often.

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