Sun'eyors and geospatial scientists require horizontal and vertical control networks witli accuracy standards that meet or exceed their project requirements. Once obsen·ations of horizontal angles and distances in the network have been collected by fielcl technicians, the survevor or scientist imist then process and adjust the data to account for systeinatic, personal, and natural error sources. Some adjustments do not meet the project specified accuracv requirements, and the dam must be anah'zed to eliminate human or iii strumei it-related blunders that occurred during collection. In this project, a MATLAB program is dereloped to adjust a horizontal control network using methods of least squares adjustment The tau statistic blunder detection feature is included in the MATLAB code to detect data that do not meet the statistical requirements. The code also communicates the network's classification as it relates to Federal Geodetic Control Subcommittee (FGCS) standards. A discussion of how the code performs the least squares adjustment will be included, along with a description of how the tau criterion blunder detection method works and the FC, CS standards that are relevant to a horizontal network. [ABSTRACT FROM AUTHOR]