stats

Package very useful for statistical calculations and random number generations.

Below you can find the most useful function in regression area:

• lm(): it is used to fit linear models

• summary.lm(): thsi function returns a summary for linear model fits

• coef(): it is possible obtain the coefficients from modeling functions

• fitted(): return fitted values

• formula(): extract formula

• predict(): used to predicts values based on linear models

• residuals(): this function extracts model residuals

• confint(): this function computes a confidence intervals

• deviance(): it returns the deviance of a fitted model

• influence.measures(): this function can be used to compute some of the regression diagnostics for linear and GLM

• lm.influence(): iit provides some diagnostics for checking the quality of the regression

• ls.diag(): it computes the basic statistics, like standard errors, t-values, p-values and etc

• glm(): it is used to fit GLM models

• loess(): this function fit polynomial surface