Build multiple linear regression model

mlr(df, stepwise = TRUE)

Arguments

df

stepwise

Details

Value

References

Note

See also

Examples

##---- Should be DIRECTLY executable !! ---- ##-- ==> Define data, use random, ##-- or do help(data=index) for the standard data sets. ## The function is currently defined as function (df, stepwise = TRUE) { names <- names(df) ncols <- length(names) propname <- names[ncols] formula <- paste(propname, "~ .") model <- lm(formula, df) if (stepwise) model <- step(model) plot_regr(fitted.values(model), fitted.values(model) + residuals(model)) model }
#> function (df, stepwise = TRUE) #> { #> names <- names(df) #> ncols <- length(names) #> propname <- names[ncols] #> formula <- paste(propname, "~ .") #> model <- lm(formula, df) #> if (stepwise) #> model <- step(model) #> plot_regr(fitted.values(model), fitted.values(model) + residuals(model)) #> model #> } #> <environment: 0x10a6fd240>