add support for more Regression algorithms

[radumg]

Add

• [x] SimpleLinearRegression

In linear regression, the model specification is that the dependent variable, y is a linear combination of the parameters (but need not be linear in the independent variables).

• [x] MultipleLinearRegression

• [x] MultivariateLinearRegression

• [ ] LogisticRegression

It is a generalized linear model used for binomial regression. Like many forms of regression analysis, it makes use of several predictor variables that may be either numerical or categorical. For example, the probability that a person has a heart attack within a specified time period might be predicted from knowledge of the person's age, sex and body mass index. Logistic regression is used extensively in the medical and social sciences as well as marketing applications such as prediction of a customer's propensity to purchase a product or cease a subscription.

Note : this should only be done after #2 and #7 are complete

[radumg]

#2 & #7 are now done in PR #11, as is SimpleLinearRegression Ready to now work on the rest.

[radumg]

Multiple Linear Regression added in PR #19 Multivariate added in PR #19 but crashes Dynamo spectacularly - likely a data type issue (double[] vs double[][])

[radumg]

dependant on #20