## Function Multiple-Linear-Regression-Minimal

(

**multiple-linear-regression-minimal** < dv > &rest < ivs > )

Let m be the number of independent variables, ` ivs.' This function returns<br> a vector of length m which are the coefficients of a linear equation that best<br> predicts the dependent variable, `

dv,' in the least squares sense.

This function returns the minimal information for a least squares regression

model, namely a list of the coefficients of the ivs, with the constant term

first. Consider using the sibling functions -brief and -verbose if you want

more information.