RapidMiner : Where/how is the Store (Model) operator connected in this process flow

RapidMiner : Where/how is the Store (Model) operator connected in this
process flow

I have created a process flow within RapidMiner that utilizes some loops.
I'm not exactly sure where my Store Model operator should be connected to,
in order to save the model parameters derived through this process to be
in a new process.
The attached example has my data replaced with some sample data, however
the rest of the process is what I have for my actual data set.
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.012">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.3.012"
expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="5.3.012"
expanded="true" height="60" name="Retrieve Sonar" width="90" x="45"
y="30">
<parameter key="repository_entry" value="//Samples/data/Sonar"/>
</operator>
<operator activated="true" class="numerical_to_binominal"
compatibility="5.3.012" expanded="true" height="76" name="Numerical
to Binominal" width="90" x="179" y="30">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="20_OV_COVER"/>
</operator>
<operator activated="true" class="set_role" compatibility="5.3.012"
expanded="true" height="76" name="Set Role" width="90" x="45"
y="120">
<parameter key="attribute_name" value="class"/>
<parameter key="target_role" value="label"/>
<list key="set_additional_roles"/>
</operator>
<operator activated="true" class="normalize" compatibility="5.3.012"
expanded="true" height="94" name="Normalize" width="90" x="179"
y="120"/>
<operator activated="true" class="nominal_to_numerical"
compatibility="5.3.012" expanded="true" height="94" name="Nominal to
Numerical (2)" width="90" x="45" y="210">
<list key="comparison_groups"/>
</operator>
<operator activated="true" class="replace_missing_values"
compatibility="5.3.012" expanded="true" height="94" name="Replace
Missing Values" width="90" x="179" y="210">
<list key="columns"/>
</operator>
<operator activated="true" class="independent_component_analysis"
compatibility="5.3.012" expanded="true" height="94" name="ICA"
width="90" x="313" y="210">
<parameter key="number_of_components" value="700"/>
</operator>
<operator activated="true" class="optimize_selection_forward"
compatibility="5.3.012" expanded="true" height="94" name="Forward
Selection" width="90" x="514" y="75">
<parameter key="maximal_number_of_attributes" value="100"/>
<parameter key="speculative_rounds" value="10"/>
<process expanded="true">
<operator activated="true" class="x_validation"
compatibility="5.3.012" expanded="true" height="112"
name="Validation" width="90" x="112" y="30">
<parameter key="number_of_validations" value="5"/>
<process expanded="true">
<operator activated="true" class="naive_bayes"
compatibility="5.3.012" expanded="true" height="76"
name="Naive Bayes" width="90" x="112" y="30"/>
<connect from_port="training" to_op="Naive Bayes"
to_port="training set"/>
<connect from_op="Naive Bayes" from_port="model"
to_port="model"/>
<portSpacing port="source_training" spacing="0"/>
<portSpacing port="sink_model" spacing="0"/>
<portSpacing port="sink_through 1" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="apply_model"
compatibility="5.3.012" expanded="true" height="76"
name="Apply Model" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance"
compatibility="5.3.012" expanded="true" height="76"
name="Performance" width="90" x="276" y="30"/>
<connect from_port="model" to_op="Apply Model"
to_port="model"/>
<connect from_port="test set" to_op="Apply Model"
to_port="unlabelled data"/>
<connect from_op="Apply Model" from_port="labelled data"
to_op="Performance" to_port="labelled data"/>
<connect from_op="Performance" from_port="performance"
to_port="averagable 1"/>
<portSpacing port="source_model" spacing="0"/>
<portSpacing port="source_test set" spacing="0"/>
<portSpacing port="source_through 1" spacing="0"/>
<portSpacing port="sink_averagable 1" spacing="0"/>
<portSpacing port="sink_averagable 2" spacing="0"/>
</process>
</operator>
<connect from_port="example set" to_op="Validation"
to_port="training"/>
<connect from_op="Validation" from_port="averagable 1"
to_port="performance"/>
<portSpacing port="source_example set" spacing="0"/>
<portSpacing port="sink_performance" spacing="0"/>
</process>
</operator>
<connect from_op="Retrieve Sonar" from_port="output"
to_op="Numerical to Binominal" to_port="example set input"/>
<connect from_op="Numerical to Binominal" from_port="example set
output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output"
to_op="Normalize" to_port="example set input"/>
<connect from_op="Normalize" from_port="example set output"
to_op="Nominal to Numerical (2)" to_port="example set input"/>
<connect from_op="Nominal to Numerical (2)" from_port="example set
output" to_op="Replace Missing Values" to_port="example set input"/>
<connect from_op="Replace Missing Values" from_port="example set
output" to_op="ICA" to_port="example set input"/>
<connect from_op="ICA" from_port="example set output" to_op="Forward
Selection" to_port="example set"/>
<connect from_op="ICA" from_port="original" to_port="result 1"/>
<connect from_op="ICA" from_port="preprocessing model"
to_port="result 2"/>
<connect from_op="Forward Selection" from_port="example set"
to_port="result 3"/>
<connect from_op="Forward Selection" from_port="attribute weights"
to_port="result 4"/>
<connect from_op="Forward Selection" from_port="performance"
to_port="result 5"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="18"/>
<portSpacing port="sink_result 2" spacing="0"/>
<portSpacing port="sink_result 3" spacing="0"/>
<portSpacing port="sink_result 4" spacing="0"/>
<portSpacing port="sink_result 5" spacing="0"/>
<portSpacing port="sink_result 6" spacing="0"/>
</process>
</operator>
</process>