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When generating calibration equations using samples of known composition, the independent variable is represented by the spectroscopic readings (ie, log 1/R) at speci c wavelengths, while the concentration of the analyte of interest, for example, determined by traditional laboratory techniques, is the dependent variable Spectral raw data may have a distribution or shape that is not optimal for analysis Background effects, baseline shifts, measurements in different conditions, different variances in interfering variables and the like can complicate information extraction using multivariate methods It is important to minimize the noise introduced by such effects Preprocessing operations include centering, weighting, and numerous mathematical transformations Mean centering consists of subtracting the average spectra from each individual spectrum This ensures that all results will be interpretable in terms of variation around the mean considered as the model center. free code 128 barcode font for crystal reports How to Create Code 128 Barcodes in Crystal Reports using Fonts ...
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