Abstract

The significance of eigenvectors and eigenspectra used in factor analysis, the relation of least-squares coefficients to the concentration of individual components, and the role of difference spectrum in the least-squares method have been examined theoretically. The equivalence of factor analysis and least-squares curve-fitting has been established. Factor analysis and least-squares curve-fitting have been attempted on the Fourier transform infrared spectra of nonadecane, nonadecane-d<sub>2</sub>, nonadecane-d<sub>2</sub> melt, and C<sub>24</sub>H<sub>49</sub>COOH, obtained as a function of temperature, Experimental results have been used to substantiate theoretical conclusions.

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