Add plotting and regression utilities for memory analysis

- Introduced `PlutusBenchmark.Plotting` module for generating and saving various plots, including prediction and scatter plots.
- Implemented functions to ensure the data output directory exists and to save plots with actual and predicted data points.
- Added `PlutusBenchmark.RegressionInteger` module for finding the best integer slope and intercept that minimize the sum of squared errors (SSE) for given data points.
- Included continuous ordinary least squares (OLS) computation to assist in determining the best fit.

Author: Unisay

plutus-benchmark/memory-analysis/Main.hs

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+module Main (main) where
+
+import PlutusBenchmark.MemoryAnalysis qualified as Analysis
+
+main :: IO ()
+main = do
+  measurements <- Analysis.generateMeasurements
+  Analysis.analyzePredictValueMemory measurements
+  Analysis.analyzePredictDataMemory measurements

plutus-benchmark/memory-analysis/data/.gitignore

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+*.svg

plutus-benchmark/memory-analysis/data/README.md

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+# Directory to host generated plot images locally (ignored by git)