# lr0: Simple Linear Regressions with Each Independent Variable In sasLM: 'SAS' Linear Model

 lr0 R Documentation

## Simple Linear Regressions with Each Independent Variable

### Description

Usually the first step to mulitple linear regression is the simple linear regressions with single independent variable.

### Usage

```lr0(Formula, Data)
```

### Arguments

 `Formula` a conventional formula for a linear model. Intercept will be added always. `Data` a `data.frame` to be analyzed

It performs .

### Value

Each row means one simple linear regression with that row name as the only independent variable.

 `Intercept` estimate of the intecept `SE(Intercept)` standard error of the intercept `Slope` estimate of the slope `SE(Slope)` standard error of the slope `Rsq` R-squared for the simple linear model `Pr(>F)` p-value of slope or the model

### Author(s)

Kyun-Seop Bae k@acr.kr

### Examples

```lr0(uptake ~ Plant + Type + Treatment + conc, CO2)
lr0(mpg ~ ., mtcars)
```

sasLM documentation built on Sept. 5, 2022, 5:11 p.m.