chapter  8
38 Pages

Data Analysis: Multilinear Regression and Principal Component Analysis

WithHoward Mark

We will begin by considering a simplified model, one where Beer’s law strictly applies, the constituent of interest (which is the only one in the sample) has only a single absorption band and is contained in a nonabsorbing matrix, the concentration of the constituent is known exactly over a fairly broad range, and the spectrometer we are using has absolutely no noise, nonlinearity, or any other fault. In such an ideal case the spectrum would look like that in Figure 8.1a.