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The objective of this work was to present the Analysis of Correspondence as a multivariate statistical method that can help in the yield mapping comparison. There is a concern about its indiscriminate use as tool of predictive information, without taking into consideration the spatial and temporal variability of the yield. The idea that the use of yield mapping is strictly related to the variability of the components was verified. Four yield maps were used corresponding to collected yield samples for rice in 1994, corn in 1995, cotton in 1996 and corn in 1998, in a grid with 110 points, spaced of 10 x 10 m, at the experimental station of the Agronomic Institute, located at Votuporanga, SP, Brazil. The original data were transformed using its order and analyzed using Simple and Multiple Correspondence Analysis. A great dissimilarity between the variables or classes of variables was found as measured by the Euclidean Distance in the plan.