Stable release including H/UPLC data technique

• Includes new feature to exclude the C-Z term and only perform parameter estimation using the measurement error. 2 new examples show how to do this and including confidences with k_aug
• Also a new requirements.txt file that should be good across Python 2.7 and Python 3.5 and up
• A new KIPET documentation via readthedocs to make it easier to collaborate and host and also to adhere to Python package standards
• Contains the new variance estimation techniques with new examples.
• Includes some new tools to analyze the pseudo-equivalency matrix, although these tools will still be improved to be more general.
• Addition of option to take H/UPLC data with just liquids or liquids and solids into account
• Addition of option for quadratic penalty term for penalizing values deviating from the defined optimal parameter values in the objective of the parameter estimation problem
• Addition of option to read values for mutable parameter from file, interpolate and use in the modeling context
• Addition of option to write eigenvalues of reduced Hessian automatically to a file
• Fixed bugs and other small enhancements