Added docs and generalized to multiple species

docs/source/guide/install.rst

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+.. _install:
+
+************
+Installation
+************
+
+
+Prerequisites
+=============
+
+REEPS requires python3 (>=3.5) with the development headers. 
+
+
+Stable Release
+==============
+
+There is currently no stable release
+
+
+Bleeding-edge version
+=====================
+
+To install the latest master version:
+
+.. code-block:: bash
+
+	pip install git+https://xgitlab.cels.anl.gov/summer-2020/parameter-estimation.git
+
+
+Development version
+===================
+
+To contribute to Stable-Baselines, with support for running tests and building the documentation.
+
+.. code-block:: bash
+
+    git clone https://xgitlab.cels.anl.gov/summer-2020/parameter-estimation.git && cd parameter-estimation
+    pip install -e .[docs,tests]
+
+
+Using Docker Images
+===================
+
+Not set up yet.

docs/source/guide/quickstart.rst

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+.. _quickstart:
+
+***************
+Getting Started
+***************
+
+Here is a quick example of how to fit an xml thermodynamic model to experimental data.
+
+This code fits Nd standard enthalpy in the "twophase.xml" cantera file to the 
+experimental data in "Nd_exp_data.csv".
+
+The code then produces a parity plot of the measured and predicted concentrations of Nd 3+ in the 
+aqueous phase.
+
+.. code-block:: python
+
+	from reeps import REEPS
+
+	searcher_parameters = {'exp_csv_filename': 'Nd_exp_data.csv',
+						   'phases_xml_filename': 'twophase.xml',
+						   'opt_dict': {'Nd(H(A)2)3(org)': {'h0': -4.7e6}},
+						   'phase_names': ['HCl_electrolyte', 'PC88A_liquid'],
+						   'aq_solvent_name': 'H2O(L)',
+						   'extractant_name': '(HA)2(org)',
+						   'diluant_name': 'dodecane',
+						   'complex_names': ['Nd(H(A)2)3(org)'],
+						   'rare_earth_ion_names': ['Nd+++'],
+						   'aq_solvent_rho': 1000.0,
+						   'extractant_rho': 960.0,
+						   'diluant_rho': 750.0}
+	searcher = REEPS(**searcher_parameters)
+	est_enthalpy = searcher.fit()
+	searcher.update_xml(est_enthalpy)
+	searcher.parity_plot(print_r_squared=True)
+	
+The code should return something like this