model.data

Create a data frame with just the variables in the formula in 
 a <code>lm</code> object. 
 This is comparable to <code><a href="/link/model.matrix?package=rsm&version=2.10.5" data-mini-rdoc="rsm::model.matrix">model.matrix</a></code> or <code><a href="/link/model.frame?package=rsm&version=2.10.5" data-mini-rdoc="rsm::model.frame">model.frame</a></code> except that factors,
 polynomials, transformations, etc. are not expanded.

 regression

Provides functions to generate response-surface designs,
fit first- and second-order response-surface models,
make surface plots, obtain the path of steepest ascent,
and do canonical analysis. A good reference on these methods
is Chapter 10 of Wu, C-F J and Hamada, M (2009)
"Experiments: Planning, Analysis, and Parameter Design Optimization"
ISBN 978-0-471-69946-0. An early version of the package is
documented in Journal of Statistical Software <doi:10.18637/jss.v032.i07>.

Russell Lenth

Response-Surface Analysis

model.data function

<dl> <dt>lmobj</dt>
<dd>An object returned by <code><a href="/link/lm?package=rsm&version=2.10.5" data-mini-rdoc="rsm::lm">lm</a></code> or one of its relatives.</dd> <dt>lhs</dt>
<dd>Boolean indicator of whether or not to include the variable(s) 
 on the left-hand side of the model formula.</dd></dl>

Arguments

Author

Create a data frame with just the variables in the formula in 
 a <code>lm</code> object. 
 This is comparable to <code><a href='https://rdrr.io/r/stats/model.matrix.html'>model.matrix</a></code> or <code><a href='https://rdrr.io/r/stats/model.frame.html'>model.frame</a></code> except that factors,
 polynomials, transformations, etc. are not expanded.

Reconstruct data from a linear model — model.data

<dl>

 <dt>lmobj</dt>
<dd>An object returned by <code><a href='https://rdrr.io/r/stats/lm.html'>lm</a></code> or one of its relatives.</dd>

 <dt>lhs</dt>
<dd>Boolean indicator of whether or not to include the variable(s) 
 on the left-hand side of the model formula.</dd>

</dl>

model.data: Reconstruct data from a linear model

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples