symPLS

data frame of the first group of continuous variables

data frame of the second group of continuous variables

Computes symmetric (or canonical) PLS for two groups of continuous variables

state sequences

Longitudinal characteristics

It provides miscellaneous sequence analysis functions for describing episodes in individual sequences, measuring association between domains in multidimensional sequence analysis (see Piccarreta (2017) <doi:10.1177/0049124115591013>), heat maps of sequence data, Globally Interdependent Multidimensional Sequence Analysis (see Robette et al (2015) <doi:10.1177/0081175015570976>), smoothing sequences for index plots (see Piccarreta (2012) <doi:10.1177/0049124112452394>), coding sequences for Qualitative Harmonic Analysis (see Deville (1982)), measuring stress from multidimensional scaling factors (see Piccarreta and Lior (2010) <doi:10.1111/j.1467-985X.2009.00606.x>), symmetrical (or canonical) Partial Least Squares (see Bry (1996)).

Nicolas Robette

seqhandbook

Miscellaneous Tools for Sequence Analysis

symPLS function

<dl> <dt>a</dt>
<dd>data frame of the first group of continuous variables</dd> <dt>b</dt>
<dd>data frame of the second group of continuous variables</dd></dl>

Arguments

Author

Symmetric (or canonical) PLS — symPLS

<dl>

 <dt>a</dt>
<dd>data frame of the first group of continuous variables</dd>

 <dt>b</dt>
<dd>data frame of the second group of continuous variables</dd>

</dl>

symPLS: Symmetric (or canonical) PLS

Description

Usage

Arguments

Author

References