Fit finite-impulse-response (distributed-lag) models that relate a sampled process response (daily lab) to high-frequency inputs (DCS minute data) with smoothness-regularised lag coefficients. Use when the effect of an upstream change propagates with mixed-residence-time dynamics to a downstream measurement. Don't use for simple single-lag regressions (use engineering-statistics with a lag offset), for non-linear dynamic models (use a state-space / Kalman tool), or for forecasting where the goal is prediction rather than effect attribution.
