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Fits data into a regression model: the dependent variable Y is regressed on the independent variables X1,...,Xn, with a linear model, X1,...,Xn are assumed to be normally distributed and homoscedastic.
...

The programming language R is used to generate statistical models for data analysis. One of the most popular uses of the language is for creating graphics and graphs that can be used to highlight patterns within the data.
Programming R is similar to any other programming language but it offers many advantages that make it one of the most popular languages for data analysis.
Development environment
The main advantage of R is the ease with which it can be edited, whether at home or at work. In this regard, R is similar to JavaScript and the Adobe Flex.
To edit R code, you have the choice between the interactive console and the console of the GUI, which provides a graphical interface for visualizing R functions.
Functionality
To illustrate the types of operations available in R we can use an example that can be found in the online documentation.
Start a R environment, type
> require(stats)
and then run the following code:
...
If we run the code, we will get the following output:
> M2.4.2
[1] A sample object for representing model with 4 parameters
[1] name: M2.4.2
[1] form: ~
[1] 70238732e0 sanlayd
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