diff --git a/docs/api/python/api/operator/algorithms.html b/docs/api/python/api/operator/algorithms.html
index 792d78d..6f392e2 100644
--- a/docs/api/python/api/operator/algorithms.html
+++ b/docs/api/python/api/operator/algorithms.html
@@ -239,6 +239,9 @@
 <li><p><strong>avg_sample_size_per_centroid</strong> – The average number of records per centroid in the data samples.</p></li>
 </ul>
 </dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><cite>OperationNode</cite> List containing two outputs 1. the clusters, 2 the cluster ID associated with each row in x.</p>
+</dd>
 </dl>
 </dd></dl>
 
@@ -285,10 +288,11 @@
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> – Input dataset to perform K-Means on.</p></li>
+<li><p><strong>x</strong> – Input dataset to perform Principal Componenet Analysis (PCA) on.</p></li>
 <li><p><strong>K</strong> – The number of reduced dimensions.</p></li>
 <li><p><strong>center</strong> – Boolean specifying if the input values should be centered.</p></li>
-<li><p><strong>scale</strong> – Boolean specifying if the input values should be scaled.</p></li>
+<li><p><strong>scale</strong> – Boolean specifying if the input values should be scaled.
+:return: <cite>OperationNode</cite> List containing two outputs 1. The dimensionality reduced X input, 2. A matrix to reduce dimensionality similarly on unseen data.</p></li>
 </ul>
 </dd>
 </dl>
diff --git a/docs/api/python/api/operator/operation_node.html b/docs/api/python/api/operator/operation_node.html
index 71cda46..420c88b 100644
--- a/docs/api/python/api/operator/operation_node.html
+++ b/docs/api/python/api/operator/operation_node.html
@@ -198,11 +198,11 @@
 </div>
 <dl class="py class">
 <dt id="systemds.operator.OperationNode">
-<em class="property">class </em><code class="sig-prename descclassname">systemds.operator.</code><code class="sig-name descname">OperationNode</code><span class="sig-paren">(</span><em class="sig-param">sds_context: SystemDSContext</em>, <em class="sig-param">operation: str</em>, <em class="sig-param">unnamed_input_nodes: Iterable[Union[DAGNode</em>, <em class="sig-param">str</em>, <em class="sig-param">int</em>, <em class="sig-param">float</em>, <em class="sig-param">bool]] = None</em>, <em class="sig-param">named_input_nodes: Dict[str</em>, <em class="sig-param">Union[DAGNode</em>, <em class="sig-param">str</em>, <em class="sig-param">int</em>, <em class="sig-param">float</em>, <em class="sig-param">bool]] = None</em>, <em class="sig-param">output_type: systemds.script_building.dag.OutputType = &lt;OutputType.MATRIX: 1&gt;</em>, <em class="sig-param">is_python_local_data: bool = False</em><span class="sig-paren">)</span><a class="headerlink" href="#systemds.operator.OperationNode" title="Permalink to this definition">¶</a></dt>
+<em class="property">class </em><code class="sig-prename descclassname">systemds.operator.</code><code class="sig-name descname">OperationNode</code><span class="sig-paren">(</span><em class="sig-param">sds_context: SystemDSContext</em>, <em class="sig-param">operation: str</em>, <em class="sig-param">unnamed_input_nodes: Iterable[Union[DAGNode</em>, <em class="sig-param">str</em>, <em class="sig-param">int</em>, <em class="sig-param">float</em>, <em class="sig-param">bool]] = None</em>, <em class="sig-param">named_input_nodes: Dict[str</em>, <em class="sig-param">Union[DAGNode</em>, <em class="sig-param">str</em>, <em class="sig-param">int</em>, <em class="sig-param">float</em>, <em class="sig-param">bool]] = None</em>, <em class="sig-param">output_type: systemds.script_building.dag.OutputType = &lt;OutputType.MATRIX: 1&gt;</em>, <em class="sig-param">is_python_local_data: bool = False</em>, <em class="sig-param">number_of_outputs=1</em>, <em class="sig-param">output_types: Iterable[systemds.script_building.dag.OutputType] = None</em><span class="sig-paren">)</span><a class="headerlink" href="#systemds.operator.OperationNode" title="Permalink to this definition">¶</a></dt>
 <dd><p>A Node representing an operation in SystemDS</p>
 <dl class="py method">
 <dt id="systemds.operator.OperationNode.__init__">
-<code class="sig-name descname">__init__</code><span class="sig-paren">(</span><em class="sig-param">sds_context: SystemDSContext</em>, <em class="sig-param">operation: str</em>, <em class="sig-param">unnamed_input_nodes: Iterable[Union[DAGNode</em>, <em class="sig-param">str</em>, <em class="sig-param">int</em>, <em class="sig-param">float</em>, <em class="sig-param">bool]] = None</em>, <em class="sig-param">named_input_nodes: Dict[str</em>, <em class="sig-param">Union[DAGNode</em>, <em class="sig-param">str</em>, <em class="sig-param">int</em>, <em class="sig-param">float</em>, <em class="sig-param">bool]] = None</em>, <em class="sig-param">output_type: systemds.script_building.dag.OutputType = &lt;OutputType.MATRIX: 1&gt;</em>, <em class="sig-param">is_python_local_data: bool = False</em><span class="sig-paren">)</span><a class="headerlink" href="#systemds.operator.OperationNode.__init__" title="Permalink to this definition">¶</a></dt>
+<code class="sig-name descname">__init__</code><span class="sig-paren">(</span><em class="sig-param">sds_context: SystemDSContext</em>, <em class="sig-param">operation: str</em>, <em class="sig-param">unnamed_input_nodes: Iterable[Union[DAGNode</em>, <em class="sig-param">str</em>, <em class="sig-param">int</em>, <em class="sig-param">float</em>, <em class="sig-param">bool]] = None</em>, <em class="sig-param">named_input_nodes: Dict[str</em>, <em class="sig-param">Union[DAGNode</em>, <em class="sig-param">str</em>, <em class="sig-param">int</em>, <em class="sig-param">float</em>, <em class="sig-param">bool]] = None</em>, <em class="sig-param">output_type: systemds.script_building.dag.OutputType = &lt;OutputType.MATRIX: 1&gt;</em>, <em class="sig-param">is_python_local_data: bool = False</em>, <em class="sig-param">number_of_outputs=1</em>, <em class="sig-param">output_types: Iterable[systemds.script_building.dag.OutputType] = None</em><span class="sig-paren">)</span><a class="headerlink" href="#systemds.operator.OperationNode.__init__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create general <cite>OperationNode</cite></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -212,7 +212,11 @@
 <li><p><strong>unnamed_input_nodes</strong> – inputs identified by their position, not name</p></li>
 <li><p><strong>named_input_nodes</strong> – inputs with their respective parameter name</p></li>
 <li><p><strong>output_type</strong> – type of the output in DML (double, matrix etc.)</p></li>
-<li><p><strong>is_python_local_data</strong> – if the data is local in python e.g. numpy arrays</p></li>
+<li><p><strong>is_python_local_data</strong> – if the data is local in python e.g. Numpy arrays</p></li>
+<li><p><strong>number_of_outputs</strong> – If set to other value than 1 then it is expected
+that this operation node returns multiple values. If set remember to set the output_types value as well.</p></li>
+<li><p><strong>output_types</strong> – The types of output in a multi output scenario.
+Default is None, and means every multi output is a matrix.</p></li>
 </ul>
 </dd>
 </dl>
diff --git a/docs/api/python/api/script_building/script.html b/docs/api/python/api/script_building/script.html
index affa103..c2e1fe4 100644
--- a/docs/api/python/api/script_building/script.html
+++ b/docs/api/python/api/script_building/script.html
@@ -194,7 +194,6 @@
 <dd><p>DMLScript is the class used to describe our intended behavior in DML. This script can be then executed to
 get the results.</p>
 <p>TODO caching</p>
-<p>TODO multiple outputs</p>
 <p>TODO rerun with different inputs without recompilation</p>
 <dl class="py method">
 <dt id="systemds.script_building.script.DMLScript.add_code">
diff --git a/docs/api/python/searchindex.js b/docs/api/python/searchindex.js
index e26f29b..74db1aa 100644
--- a/docs/api/python/searchindex.js
+++ b/docs/api/python/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/src/main/python/systemds/operator/algorithm.py b/src/main/python/systemds/operator/algorithm.py
index ccae749..b06bf15 100644
--- a/src/main/python/systemds/operator/algorithm.py
+++ b/src/main/python/systemds/operator/algorithm.py
@@ -98,7 +98,7 @@
     """
     Performs PCA on the matrix input
 
-    :param x: Input dataset to perform K-Means on.
+    :param x: Input dataset to perform Principal Componenet Analysis (PCA) on.
     :param K: The number of reduced dimensions.
     :param center: Boolean specifying if the input values should be centered.
     :param scale: Boolean specifying if the input values should be scaled.
@@ -112,7 +112,7 @@
 
     if 'K' in kwargs.keys() and kwargs.get('K') < 1:
         raise ValueError(
-            "Invalid number of clusters in K means, number must be integer above 0")
+            "Invalid number of dimensions in PCA, number must be integer above 0")
 
     if 'scale' in kwargs.keys():
         if kwargs.get('scale') == True: