wholesale

This dataset contains the annual spending amounts of wholesale customers on various product categories, along with their channel and region information.

datasets

Enables the generation of Laplace factor models across diverse Laplace distributions and facilitates the application of Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Projected Principal Component (PPC), Perturbation Principal Component (PPC), Stochastic Approximation Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods and Farm Test methods to these models. Evaluates the efficacy of these methods within the context of Laplace factor models by scrutinizing parameter estimation accuracy, mean square error, and the degree of sparsity.

Guangbao Guo

Laplace Factor Model Analysis and Evaluation

Siqi Liu

wholesale function

A data frame with 440 rows and 8 columns.<ul>
<li><code>FRESH</code>: Annual spending (m.u.) on fresh products.</li>
<li><code>MILK</code>: Annual spending (m.u.) on milk products.</li>
<li><code>GROCERY</code>: Annual spending (m.u.) on grocery products.</li>
<li><code>FROZEN</code>: Annual spending (m.u.) on frozen products.</li>
<li><code>DETERGENTS_PAPER</code>: Annual spending (m.u.) on detergents and paper products.</li>
<li><code>DELICATESSEN</code>: Annual spending (m.u.) on delicatessen products.</li>
<li><code>CHANNEL</code>: Customers' channel - Horeca (Hotel/Restaurant/Café) or Retail channel (Nominal).</li>
<li><code>REGION</code>: Customers' region - Lisbon, Oporto or Other (Nominal).</li>
</ul>

wholesale: Wholesale Customers Data

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