matrixpls.boot

Matrix or data frame containing the raw data.

data

All other parameters are passed through to <code><a href="/link/matrixpls?package=matrixpls&version=0.4.0" rd-options="" data-mini-rdoc="matrixpls::matrixpls">matrixpls</a></code>.

signChangeCorrection

The type of parallel operation to be used (if any).  If missing, the
    default is taken from the option <code>"boot.parallel"</code> (and if that
    is not set, <code>"no"</code>).

parallel

integer: number of processes to be used in parallel operation:
    typically one would chose this to the number of available CPUs.

ncpus

A logical indicating whether boostrapping should be continued when error occurs
in a replication.

stopOnError

<code>matrixpls.boot</code> is a convenience method that implements bootstrapping of <code>matrixpls</code>
with <code><a href="/link/boot?package=matrixpls&version=0.4.0&to=boot" rd-options="boot" data-mini-rdoc="boot::boot">boot</a></code> method of the <code>boot</code> package.

matrixpls is implements Partial Least Squares Path Modeling
    algorithm and related algorithms. The algorithm implementations aim for
    computational efficiency using matrix algebra and covariance data. The
    package is designed toward Monte Carlo simulations and includes functions
    to perform simple Monte Carlo simulations.

matrixpls.boot: Bootstrapping of matrixpls function

Description

Usage

Arguments

Value

See Also