Wrapper for the <code>prc</code> function to allow for formula input.

Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0)
"Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences".
This implements and imports a  collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting
functions, multiple real data sets and four vignettes covering a range different applications.

Kristian Hovde Liland

HDANOVA

High-Dimensional Analysis of Variance

prc function

<dl><dt>formula</dt>
<dd>Model formula accepting a single response (block) and predictors.
If no predictor is called 'time', time is assumed to be the second predictor.</dd>
<dt>data</dt>
<dd>The data set to analyse.</dd>
<dt>...</dt>
<dd>Additional arguments to <code>prc</code>.</dd></dl>

Arguments

Principal Response Curves — prc

<dl>

<dt>formula</dt>
<dd>Model formula accepting a single response (block) and predictors.
If no predictor is called 'time', time is assumed to be the second predictor.</dd>


<dt>data</dt>
<dd>The data set to analyse.</dd>


<dt>...</dt>
<dd>Additional arguments to <code>prc</code>.</dd>

</dl>

prc: Principal Response Curves

Description

Usage

Value

Arguments

See Also

Examples