This paper presents some properties of the SWEEP operator in the scope of least square regression subject to linear constraints and matrix of sum of squares and cross product (SS&CP) in singular ill conditions. Despite alternative approaches available, the SWEEP algorithm represents one of the most flexible tools due to its simplicity in calculation and statiistical implication of the matrix elements involved and, still more importantly, the output interpretation keeps full consistency with the explanation of general output.