Solid state fermentation pilot-scaled plug flow bioreactor, using partial least square regression to predict the residence time in a semicontinuous process

As the demand function in this study is the estimation of the per capita consumption of electricity function in terms of price, investment and GDP per capita, the

The effects of input parameters such as vacuum, vibro-compaction time, green anode density, and heating rate on the baked anode density were studied using the

The least square method in the determination of thermal diffusivity using a flash method.. Lech Pawlowski,

Actually, the proof is quite direct now: instead of using the techniques given in the section devoted to the inductive case, we use a result valid in the transductive case and

A widely used regression method is Multivariate Linear Regression (MLR) where many explanatory variables are linked to a specific response variable by a parametric linear model

Lipidomic profiling and partial least square analysis in LDLR-/- MICE given increasing dose of omega 3 PUFA:F4 -neuroprostanes as a major predictive variable of

Note that the columns with the predicted RPS scores ( pred rps ) and the logarithmically transformed RPS scores ( pred log_rps ) are generated later in this example.

Based on the LOCAL calibration algorithm (Shenk et al., 1997) and the Locally Weighted Regression (LWR ; Naes et al., 1990), we developed a powerful routine associating local