#8 Documentation

README.adoc

@@ -12,7 +12,7 @@ image:http://latex.codecogs.com/gif.latex?h(x)%20=%20\theta_{0}%20+%20\sum_{j=1}
 
 This plugin enhances Elasticsearch's query engine by new aggregations and a score function to make use
 of linear regression for data stored in Elasticsearch.
-The [aggregations](#aggregations) utilize the index data during search
+The <<aggregations,aggregations>> utilize the index data during search
 as training data for estimating a linear regression model in order to expose information like:
 
 * prediction / forecasting of a value for the target variable,
@@ -22,13 +22,14 @@ as training data for estimating a linear regression model in order to expose inf
 Estimation is performed regarding the https://en.wikipedia.org/wiki/Ordinary_least_squares[OLS]
 (ordinary least-squares) approach over the search result set.
 
-The [score function](#score-function) allows to rank the documents given the coefficients of the estimated model
+The <<score-function,score function>> allows to rank the documents given the coefficients of the estimated model
 by the error term. This may help
 
 * to identify breakouts or rather outliers,
 * to be used for recommending documents matching best the regression model.
 
 
+[[aggregations]]
 ## Aggregations
 Both aggregations are numeric aggregations that estimate the linear regression coefficients
 image:http://latex.codecogs.com/gif.latex?\theta_0,%20\theta_1,%20\theta_2,.%20.%20.,%20\theta_C%20[]