code: def plotTrend(self):
      for trend in self.mTrendList:
          tsplot.decomp_plot(
              self.mTrendFrame,
              self.mTimeInfo.mNormalizedTimeColumn,
              self.mSignal,
              trend.mOutName,
              trend.mOutName + "_residue",
          )
  
imports: import pandas
  import numpy
  from .None import Time
  from .None import Perf
  from .None import Plots
  from .None import Utils
  import sklearn
  import sklearn.preprocessing
  import sklearn.linear_model
  from sklearn.feature_selection import RFE
  from sklearn.linear_model import LinearRegression
label_desc: Use image node_id 4 for calling the cTrendEstimator obj's underlying member method code with example usage: obj.plotTrend() without return types