“…However, their applicability for the determination of multicomponent mixtures, especially for some organic compounds with similar molecular structure, are rather limited because seriously overlapped polarograms or voltammograms are generally obtained. Diverse chemometric methods, such as multiple linear regression (MLR) (Turnes et al 1992;Garcia et al 1994), Kalman filter (KF) (Brown and Brown 1981), partial least squares (PLS) (Henrion et al 1990) and principal component regression (PCR), and iterative target transformation factor analysis (ITTFA) (Ni and Jin 1999), have been shown to overcome this limitation and resolve the overlapping bands successfully. Recently, these chemometric approaches have been applied to binary or ternary mixtures of similar organic compounds (Ni, Wang, and Kokot 2006;Ni, Qiu, and Kokot 2005;Guiberteau et al 2001).…”