The study explains multivariate analytical methods named Classical Least Square (CLS), Inverse Least Square (ILS), and Principle Component Regression (PCR). In general, the term multivariate analysis leads to solving the problem having number of variables and in here it leads to evaluate the different drugs in various combinations. So to evaluate Ambroxol Hydrochloride (AMB), Paracetamol (PCM), Levocetrizine Dihydrochloride (LCZ) and Phenylephrine Hydrochloride (PHE) in pharmaceutical dosage

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... m whether the later contains two, three or all of them. Thus, these methods were also called as multipurpose methods. To reach the goal first 36 different composite mixtures of all drugs were prepared and analyzed through UV-spectrophotometer and above mentioned all the three models (CLS, ILS and PCR) were depicted. The LOD and LOQ values for AMB, PCM, LCZ and PHE from these models were found to be 0.32 μg/mL, 0.29 μg/mL, 0.43μg/mL and 1.15μg/mL and 0.96 μg/mL, 0.87 μg/mL, 1.29 μg/mL and 3.45 μg/mL respectively which is very less than previous conventional methods. Then these models were applied on five different dosage forms having above drugs in binary, tertiary or quaternary combinations and mean recoveries of 101.4%, 100.9 %, 100.2%, 101.3% for CLS; 101.8%, 100.4 %, 100.2%, 100.7% for ILS; 100.8%, 100.3 %, 100.2%, 100.1% for PCR; for AMB , PCM, LCZ and PHE respectively. The statistics were applied to conclude that there is no significant difference between the methods. The accepted t-value (less than 5.42) of marketed samples confirms that these all methods are suitable for routine assay of selected drugs in binary/ tertiary or quaternarycombination.