Latin Square Design is a type of statistical experimental design where the aim is to remove the error associated with variations in two non-interacting external variables in order to understand the effect of each variable in addition to the effect of manipulating an independent variable. Experimental units are allocated in such a way that variations in experimental treatments occur once in each row or column (in a table of treatments).
