multiple_regression

There are 60 observations on a response y with the values of three explanatory variables.
 The scatter plot matrix of the data shows y increasing with each of x1, x2 and x3.
 The plot of residuals against fitted values shows no obvious pattern. However the
 FS finds that there are 6 masked outliers.

datasets

Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis
(FSDA)' which is comprehensive and computationally efficient
software package for robust statistics in regression, multivariate
and categorical data analysis. The current R version implements tools
for regression: (forward search, S- and MM-estimation, least trimmed
squares (LTS) and least median of squares (LMS)), for multivariate analysis
(forward search, S- and MM-estimation), for cluster analysis and cluster-wise regression.
The distinctive feature of our package is the possibility of
monitoring the statistics of interest as a function of breakdown point,
efficiency or subset size, depending on the estimator. This is
accompanied by a rich set of graphical features, such as dynamic
brushing, linking, particularly useful for exploratory data analysis.

Valentin Todorov

fsdaR

Robust Data Analysis Through Monitoring and Dynamic
Visualization

Emmanuele Sordini

Aldo Corbellini

Francesca Torti

Marco Riani

Domenico Perrotta

Andrea Cerioli

multiple_regression function

A data frame with 60 rows and 4 variables
The variables are as follows:
<ul>
<li>X1</li>
<li>X2</li>
<li>X3</li>
<li>y</li>
</ul>@references
 Atkinson, A. C., and Riani, M. (2000). Robust Diagnostic Regression Analysis. Springer-Verlag, New York.

Format

Multiple regression data showing the effect of masking (Atkinson and Riani, 2000). — multiple_regression

A data frame with 60 rows and 4 variables
The variables are as follows:
<ul>
<li>X1</li>
<li>X2</li>
<li>X3</li>
<li>y</li>
</ul>

@references
 Atkinson, A. C., and Riani, M. (2000). Robust Diagnostic Regression Analysis. Springer-Verlag, New York.

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multiple_regression: Multiple regression data showing the effect of masking (Atkinson and Riani, 2000).

Description

Usage

Arguments

Format