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Least Absolute Deviation Regression and Least Squares for Modeling Retention Indices of Set Compounds Food and Pollutants of the Environment
American Journal of Applied Sciences
Considering the importance of the statistical analysis of regression in modeling based separately on study for Quantitative structure retention indices on Carbowax 20 M (I Cw20M ) and OV-101 columns (I OV-101 ) relationships (QSRR) are determined for 114 pyrazines. The detection of influential observations for the standard least squares regression model is a problem which has been extensively studied. Least Absolute Deviation regression diagnostics offers alternative dicapproaches whose maindoi:10.3844/ajassp.2017.592.606 fatcat:ewc2rgoexjfojgwckipqepaisy