sds_c

<p>A dataset where each value come from a lognormal density with meanlog = -4.75
and sdlog = 2.5.
The main ideia is described in figure 3 on Wentzell, P. D.
"Other topics in soft-modeling: maximum likelihood-based soft-modeling
methods." (2009): 507-558.</p>

datasets

R implementation of Maximum Likelihood Principal Component Analysis
The main idea of this package is to have an alternative way of PCA for
subspace modeling that considers measurement errors.
More details can be found in Peter D. Wentzell (2009)
<doi:10.1016/B978-0-444-64165-6.03029-9>.

Renan Santos Barbosa

RMLPCA

Maximum Likelihood Principal Component Analysis

sds_c function

<p>A matrix with 300 rows and 20 columns</p>

sds_c: Standard deviations for mlpca_c model

Description

Usage

Arguments

Format

References