In this work we use a triple validation procedure that first establishes each time-series regr model is statistically significant in 2 different ways.
The distance data to the relevant planets is first "de-seasonalised" to remove any a priori similarity to earth's weather that might show up as a spurious correlation given all planetary motions in the solar system are highly correlated and non-random.
The top 10 (by TS regr R2) models found are as follows:









See the article for other details.