Ilex paraguariensis, family Aquifoliaceae, is a native tree cultivated mainly in southern South America (Brazil, Argentina, Paraguay and Uruguay) especially due to the cultural reasons and health benefits of yerba mate. The objective of this study was to detect the addition of sugar in yerba mate. The non-supervised chemometric method ComDim for multi-block analysis was used to evaluate 69 samples of yerba mate, of which 18 indicated sugar content on the label. The samples were analyzed by colorimetry, visible (Vis) and near infrared (NIR) spectroscopy. Through the information extracted from the data tables, two common dimensions (CD) were used with a total variance of 97.98%. Analyzing the saliences, it was verified that the prominent informations for the discrimination of the samples in CD1 was due the colorimetry data and Vis spectra. In CD2 the NIR spectra was the most important. In the score plot it was found that 17 samples with sugar were distributed in the positive quadrant of CD2. Therefore, NIR spectra were responsible for the segmentation of the samples. Five samples that did not contain information about the sugar content on their labels were also localized in positive quadrant of CD2. So, it can be induced that these samples were probably adulterated by the addition of sugar. The inspection of the loading plot for NIR spectra shown that the regions 1390-1470 nm, 1660-1710 nm and 1970-2500 nm were responsible for the separation. Thus, the chemometric approach was able to discriminate the samples of yerba mate with sugar. Furthermore, the ComDim proved to be efficient to evaluate samples described by variables coming from different instrumental methods.