. 2023 May 31;34(7):1248–1262. doi: 10.1021/jasms.3c00089

Table 2. Summary of the Unstandardized Coefficients for 20 General Linear Regression Models Using the Abundance of Each m/z Value as a Dependent Variable and the Remaining 19 Abundances as Possible Covariates^*.

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Bold underlined font indicates the most significant standardized coefficient in each regression model. N = 128 spectra were used as the training set with the 20 most abundant peaks selected.

As an example of how to use these coefficients, these coefficients are employed in eq 6 to predict the abundance of m/z 182 in any given query spectrum.

Table 2. Summary of the Unstandardized Coefficients for 20 General Linear Regression Models Using the Abundance of Each m/z Value as a Dependent Variable and the Remaining 19 Abundances as Possible Covariates*.

Table 2. Summary of the Unstandardized Coefficients for 20 General Linear Regression Models Using the Abundance of Each m/z Value as a Dependent Variable and the Remaining 19 Abundances as Possible Covariates^*.