## Print `lsfit' Regression Results

## Usage

    ls.print(ls.out, digits = 4, print.it = TRUE)

## Arguments

`ls.out` | Typically the result of `lsfit()`
`digits` | The number of significant digits used for printing
`print.it` | a logical indicating whether the result should also be printed

## Description

Computes basic statistics, including standard errors, t- and p-values for the regression coefficients and prints them if `print.it` is `TRUE`.

## Value

A list with the components

`summary` | The ANOVA table of the regression
`coef.table` | matrix with regression coefficients, standard errors, t- and p-values

## Note

Usually, you'd rather use `summary(lm(...))` and `anova(lm(...))` for obtaining similar output.

## See Also

`ls.diag`, `lsfit`; `lm`, `lm.influence` which usually are preferable.

## Examples

    ## See help for lsfit

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