Residuals, in regression analysis

Residual in regression analysis, the difference between an observed value and the value predicted by the regression equation in analysis of variance, the error remaining after all desired main effects and interactions have been calculated. 

Assuming all noise is removed then the result is the true spectrum. Conversely, from Equation (33), if the smoothed spectrum is subtracted from the original, raw data, then a noise spectrum is obtained. The distribution of this noise as a function of wavelength may provide information regarding the source of the noise in spectrometers. The procedure is analogous to the analysis of residuals in regression analysis and modelling. 

Gray, J.B., and Woodall, W.H. The maximum size of standardized and internally studentized residuals in regression analysis. American Statistician 1994 48 111-113. 

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See also in sourсe #XX -- [ ]

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